{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "296c9b04-983c-46f6-99f1-0e0df0c2f5d7",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# 集成算法 RandomForest"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "711fccd7-6eb8-4708-bfb7-8371c5a98a5c",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "**集成学习**（ensemble learning）是时下非常流行的机器学习算法，它本身不是一个单独的机器学习算法，而是通\n",
    "过在数据上构建多个模型，集成所有模型的建模结果。基本上所有的机器学习领域都可以看到集成学习的身影，在\n",
    "现实中集成学习也有相当大的作用，它可以用来做市场营销模拟的建模，统计客户来源，保留和流失，也可用来预\n",
    "测疾病的风险和病患者的易感性。在现在的各种算法竞赛中，随机森林，梯度提升树（GBDT），Xgboost等集成\n",
    "算法的身影也随处可见，可见其效果之好，应用之广。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46623feb-d4d2-4749-9a6e-b235aa74c5e4",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "多个模型集成成为的模型叫做集成评估器（ensemble estimator），组成集成评估器的每个模型都叫做基评估器\n",
    "（base estimator）。通常来说，有三类集成算法：装袋法（Bagging），提升法（Boosting）和stacking。"
   ]
  },
  {
   "attachments": {
    "e4a9f62f-9289-4639-981a-53d862d0ffb4.png": {
     "image/png": 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bdlaFl+q4n77sBdo3qgQvfnDnewLVsgNP2TDb7uq4wJXnD+Puayexe2sFwjZ/cb8ipJkUQZgJHeVJX0uz/6msqq/0Kb6Mtqqk+l893LD5fNqIJ6taT7SOXJveqY45cepvKdD3MUHrMH+aea+SzI8UN0+Edd8kxqbRE+Q0Ycy83kIEKIg/wjBEEAQ/jMSRWxsdNWsN8nvht/1WdM90BNpmq15QJBe3bFvS9Ea8RRGsRdfZuhfvjvB7H2rjT/6nNrZOUY/MIRPV9KBVEH3l1o/puw6wZ0uImy8LsHW9TMZLrvf4R4AzpftG+V2L7vpp1w++vDr9PCR4I9Cn38gM3R4TAjVD2zDNC6wNHCJbTyEuMvM8cXLf9bM4dDoJ9TsE+k2GDfzqXxqQpO8gFeCTwGQ5wt0XBLj87AbKrmVZwghGLEmJDQQs74lK8y/hIZOY5g6BnAJqfnz7ksIpgVE3wocuWsafv2Ma79xZgyOKdGMJzniSR2XqpRcb77ZkJk/HRnIhi3XMg2vbWFG//Wp8YE4RnwoHnxoNfdjq91CKbQU3ioBmctoq/RRN3io0bVukYwr9uMk82+AJB73fb7Smx6jlPg1eeSJnm+J72R3tN+rveCJJ6/cTHtjwcrr8/cRM3XyfMDLk4tprRnDN5SMYrrrx/cxqV598FvFlW/XlOug1Hik9W73M2Eh9askXuOPKSfz2e7fikvOGoFduiS05jsBH3rUFH/vtPbj1qnE4xkMRmWN3guncxoiwv0/bMzy3+CipCUEnv8ahOpQXUofbh/Wa+LG81V5FR9s00VGmr0S+HfEHpzo5tNTVBOhlHzo2HhCy9sb8wlBJVj8HfkiJoy2IEuy3zaPwtnkea61JyhuFNxJQ83IebcByfy0zUT/Qj+e3QxAK1FoCqy2BkH8DrBDHm5EsrBV+2HbwRuieaZ8W6fFHoeM86Cc7+2HhT8AaKPVIRNRKCA1SOM61sJU3DIoCIFtda3DNA3NyzbfQFkHR+zW96uiVDjIxch3r7ZAcuwUnncgyiRhLTjireYlKv6CmJdtnEpRceYEn51NVEwL1jsB8Q6DTa+tPkY657HzFUiU6Gfuz8Cly7mtEpJ7BA+OliOc8UDr2h4DyhKVMEB3mJIiqH6xxaU7f9dwuGiUH5gRp/xuH9Kh6/Ub0fVYx+MkJPHmVvBVnSscaTtlshvzjVYtCMt5G2Z/m0cIb51Fd2+r367us28Yt/Ok6wvzLE2aOrGiLaD9TMf3L2/B+tvV5URiV1/8ZvDRhEij7Dm69chy/9v6tuGTPUC6yZidCc9VF0EmUo3HSRKdACbmJEqvD71l1UpRIETx5oH0XoZVnp/3omF8zHZvltjnDci1ydNwLeo21PB1TWnnzxxrAO/OmHHh0ZPX0PX7znqb3bPh4u7w6Z9p2Lfj67YW80cW9ai++bHxwa8njibexO4QnX3bxS/++AgFgsVY4kmHvO86LTZ4z02U/CyfFwHVexFeRHaCgrJc+bFDUjpb39CB90nyzx8ZaafUzdtEbH93aqD7SbvtYu6qjtmlaY8Ok3LaF0jgxkwV/ijafjPjR/7YyTkfRyuMxlObpqSnz2UlT0VArSbaVVIn8FQ0tF8VD/AbVBw/SLGIZwajxBDZHT7QsktlEitKzJpqMTyFS/dl0wgNB3j8qWXSInqXEctvBf3hmCn/2wjo0ugJhxHhRerOaMrEr2ufGe5dUdps9cT5h1zFd1Tbsk+gEIsdWLONJ3dc6YXYiJeBWgBKAznJSH+Zfbjd06y2Vh5bpAgKhNG8bxZLoQ8YH5pQnAccj9kx1mDdXW3iygaErmf7hW/VsZPI+E0DHh6EbNu57TdeEJe0zwO9bynT7HALa5giTkpVRPJRXwcooLxlblEBmfBF89D2+AnZzQb93amlbVGYDmfyX62MsfqEvfsk40O8VCuiPvgsBIQDPB/yKA4+OTQJBKPF/fOII/rB0DKvNEKHyiUpW9QF51c7YOJLjDyjY9Kdw6t9I7VjbDMHNut78neBSWzCNrZ2MVuZdxx5A/b26oXTM8alxkdExu9bxB5EHEsa7oYbez0DHHKfiX+lI3bfZcgEpdTjOG0wc9axpoWaTxNb73Avyci6NjRanWVQnD4rq5+HL470foG1teuzl+QtnLAu++FoIwHclSr6E68R1okigEwAddm5AGAGNtkhiCTtfrgOUPAnXlXCT06QkBMIQaHXjv1m+0t8CgO9JlH3AcSSkjFc3uyHQDQSk5DIkXOSqRxh8eW58mI6UQBABna5AENp4KfJMdt7X3g9FdrmW8dHLvnndPDp5vOeNPU4ja19m/X503EsuRSePFgnIuFOnQbOtq9RvnaDlBEk84AHMevT7fPy9KeO7cgkd+m4GTwyNwCopo0kFX4XKmAfBZwuuDTyJHlXAYdWRTOWwJXmA/Z0V2lYKOEKi4kQY8UK4AAQkpAA6kYNOKBDyxoSW60iUhIQvIr39M4JAKAXaYTKeBexJtoz9UtmR8N0IIumDbijQDoFAHUpiSfqFECg5EiVXwk3ohlKgEwl0wqSqk+pNirgs6gp0bYeFOAJCSPgOUBISjgM4kJBSIpIC7UigGzkknrfYowRcIVFxJTxHQkSxv+1KoB05CKVggQ7Rpe5Leo/VMz47wfqb9YtRJpIAhwK11UjG33kUANrL9nqGC0mUWjR+eSIBkX9iGt3Orfs6ipPH6hQgPWQNGOmY1sPFMu4pP7TPbImCcnmKDzX+mBjWvyC+g9dXZfS7dkXA8QLM3oh/1nW5D7DwYvPrtqkk48KVLiTsh/CQ+6ofNF6Z8slly9NxUtcRAuWSg+GqC89Nm4UB0OxGCAM2lqguEry+F+Nw3dRcuoFEpyPjJAwwZZIpg57nxG0dAccBokgijARanQhhKLM6Tl4TL/kCpbKbxFxAGAKdQKLbjRA5gOs4KJcEhqsufD+mXfEdjAy7gBQIQ4l2N0KU+KlWVyJEiE4gTR4T/ygcwPcc+J6Aq4aZk9DtRuh0JSRNQiRjXMaHEVVKAp4r9NQWBECrHSHUPosavcUvKJ9gPERJdKv8WiZ8yfpQY+7jNIxww2LzQE47UkgTYGrT9HRgwzaZjRr3GD6q49wHPpRJxi8fZxmZMogMkFK+0cSRewMDfUEd2zX3lLb7YHVs+Ip+c+sQlrpFeOj9TMTGII9WEV3bjGCTt4guLTPpOwLYPBXhuvNDXL4nxMbJuMbcksALhxw88qKLUwspzU2TEnddE2ByBPivf++j0U7x+R4wMSyxa5PEleeE2DIlsX48vt/uACfmBR550cXeQw7qTQcRdyQAfBfYOClx9bkhrrsgxOQo0O4CM0sCB084eP41B4dOO0miZ1h+IZR9ifN3RLjhwhA7N0pMjkp0usDhaQfPHHCw93UXS3Wq47XaU76O7W143X7w5eHnbXtFCf2U9ZJ/re3XQnstdTMzgr05d8QkUADAVoqATKBnrPiABMY5fNpWpChuAXZyJMHZy5xtSaOmY2GH3ucuKnlQlOKxTaiMrpKPlgmkPIHpzqCr7knsGAbed1YNfklg04YmnJJEFAocPDyMx6dL2LdYxmqXLLMQ+hePt3DTpiYu3N6BNxwAAMKmg+n5Eh47WcHT8xUsd92YHdJOSInhUoQLxjt46+Y29uysw/XjyPvosSE8frKE51RbLU/Mt4cIW4cC3LCpiRt3NVAei5+AtZddPH5sCE9NV3C0XkIgUx36IsLtW5u4bKqDb50o45m5KqJEPwLAmB9ic7WLy6bauGwqwvhEC95wCCmB1bkSnjpVxRPTFZyoezE/bBVMCIHxUoiLJ9u4bVsTm7c1IRxAdgVeO1HFIycr2LdYRj10s3O/EYAQHduSbVtySPWTsUWLfVLjpA8d+Moj5YXbY9FTdmXLevwW1KUBXSasiIDWPFCZilceDfogwayFxFpW4ozpS6Y8F7k9m28QhPnMQ1WR4pci24a+l2WbRmxzgOFLbPImoJNWYa6WUn9HG2WmDuKTrFORMH0LZ4TvAFH8RIwfhnpy1Me912yAvCbE+o0+/KpAFAHzx7v45otL2HuwjpXV0MxpJAAnToAmxzxce8EI3nLeGMY2evB8gXYtxJFjLTxxsIZ9hxpYVe1lSlk4wPoJH5edPYLrzxvBps0l+FWBTjPC0rTEt19awN7XGlipBfHUkSAQjsDmDSXccuk4rjhvBCPrHAgJ1JYCvHiwgYdeXMHhk21s3VDCPddMYc8WH1ecNwzPE3jHVRPYPuoDAF451cLXnljAwlIIxxV4x/UTuHrXCL746Bz2Hm5AJrYkBDA27GLrhhIu3jmMi7dVMTblojoS+5jluQB7X2vikZeXceJ0B2FElg+TfhACGB11cenZw7jpolHs2FGB6wNBV+Lk0QDf3b+IFw80UGsYqww5ITSbb2i/5L1Xm0Gm2pMxYcQD1F8IE0UGHU0KhVlP8y5IXYKDPxgGu1axBF3tNWgy3oy5n/Jl0wfScZI7FvPhTdyqSinbelxdI6csj1lbBGTzer08MNVgzgRnvddvUJwXfFtn8D547t15WcjjO/67eV2E33lvB++4LoDvAvWWSJ5eSdx3E/CnXyrjE/f7us3GiRDvf3sXuzZLfOqbPhrtuMRxBM7bHuKfvKOLt10WYuNEhJIv0O3GVD03tul73xLgU9/08cXv+5hbNnXvOhJXnhvhn76zg5suDuE4QLsTrzaW/XgFct8RB7//yTKef83tW+6hisStV4T4lZ/o4KJdEboB0O4KeC4wXAkwvyLw19/y8fF/8FFrnqk92er121/94uaQZzf9RB696r9R3t+orfZbL68+w9UzGWN/OVrbx+Ulqy9ZfeOkTJGtyyc6GuTkJWy0vg0nTWh5ssj5LcJtm2S1ypMLelpg3mdJFF0L3u3bWvjIXW04DRdOswwhXLijdbTPq2F+0cNfPD6Jzxwcw3I3mZIIjd+9ooWbrpjBCOJVSsVe1wPeV3PxmcfW4RMvT2C2lSRcCf0xP8TPnlPDB69exdbJJkrNCoLQgecGCM6ew/trLj775BT+2/4RLHY9HUQ4AK5e38Jv3TCHa85uYKzhohsMwRGAt30V91yxjCcPDOFPHt2AFxcqcZAlBEpuhJt2r+IXL2lj6bsTeHauqnkpiQi/euEy3n1FDRs3NDDmS3hRnDwLAUQXSdzXdvHwC2P4N4+tx4mGn+ozCYjWV0J8+MJ5vP+qFWyoRpCNIUAKuH4bnfNX8VNLPv7i4Sl8+dAYVkOahINskyUBin6AYrFF26q0tllL0MZXrPlx8WqMCBGvPAJAe6k4EKR8ZAIuJU/RYCdt+TjR23FFfGBOewEorzOTxyIXZQsh8lblBdGH0g0/YZGvstFrupITIdtvqoEao3S1VvmBoi1/FD+tw3dI2MIn6+dCkNqtwk9XgmhF7tcoGDszcvjU9iFYmTR1DtY+Kdq4qYRfft8mdJsBwmYUx0PDLrwbHNxz+3p87quz+MS3TmFhJTB8rO8KXHXRMH75to244boJjHkuus0QUSjh+gLOzQ5mF7v43ANz+MyDMzg9103FFMB5uyr4lbu34La3TGC84iJqRQi7cVt/yMO7757A/d9ewH97YBpHTraTvFhg8/oSfuentuJdt61H1RFo12K+3JLAe27dgE2fP43/8Pnj2LDOx/uun8Kec0uojLlwXODaS0dx+dnxe44PP9PEQy+uYGEljr1uv3oc77ttA54/Wcfeww2t19EhFx9850b89M3rsWlLGePVOGEMu7Gu3LKDldUQ33tiCR/90gnsP9Q0de4AE2MufvknNuP9d2zAuhEXUT2Kd6+XBNwbPdy7sg7/5W9O4W8fmkWzGZG5h/ievDk776+qa9gIw6Gu6dhSHcTnTL39PsHJD5niSSjdEaRXCEU6HlShwRcZIIpvwPIghvmKzJiwyEDbFKUkfYZlZ5g40iiFe5MiR64jHqSeyFann3uUD5tHs/FGcdnKUFA/z7vl8WCTMY8nG/483ZT4hIoAACAASURBVNp0YePNrOd7Eu++McC9bw1wZNrB5x708MoxBxDAxnHggl1hktyl4DgCFR+olsw5ynWA87ZFuOvaEGEo8dVHfRyddTCzJNANgNEhiYt2RbjzqgAffmcXc8sCf/+Yj3aQeoCtUxL/y093cMOFAR7d5+Erj3rxaqcEtkwB77q+i9uvCvCb93XwG39WQatLbYdDzJzrAtdfEOF33tfBlnUR/u5hD0+96mFmUWCoLPGWSwLc99YQv/quDk4vAH/3iI92t6j/bdExLe81wvJsZi1QZDO96ubZTZH9Afk2b8Nn8wW0ro03Xp5n+zY8HHL0woekBKyJE8h9rgLbZEU/36AmFLrNlb4nZltR5O/UhZKIKlKHT4NQZfbGdjtkt6sa9ZKKNGDkwZttOAkgE/TzCUWSenmulwXRtbkyvvz0MJ6dL+FE3Uckgc1Dw7hpSxM/cXkd//qWOSy1XXzh0BgCCKPfHp+O8PJ3J3Gi7qMbxT6r5ES4YCLAOy9dxodvn8VCR+BTL0+iGcY6LDkR3rGjhv/97fOYbXn4y0fX4bHTFbTCePvp1Rsb+CfXLOPnrpnD/gUHXz8+ql+P2zHcxb952zQu2dPCt58bxVcPjmK+6cEREttHhvHe8+u446JVHF1ewR89XkItcLW+PC9CpRLBZyf6lT3gXReu4KIdDXz9yTEcmPcx2/Kw2nXgCWD3aBe3X9DAu25cxEwD+IMnN6EZpUiGvAg/t2cJv3HzAl6bL+OTT07i+bkyQikw7Ed4y+YGfu7aJfzSdQt4bdnHY7PDiOi2aZ4cOgW2QO2TJzQSqV3xqVTbDLEL/j6Psgs/Saq7ZOXROvWyQaxsWD9YECZ9A5TMrI4KrHRAJaA/1VFeB7gkLOLjkLsPlYDafAv/7Ir6R98z0uOY9JWBH4CQ8coZd8t0aypUHaoIoreI6EDCfL/KIW0lxcH8AL/WvxPZaYKpeZWmremVQNaWr57ypA9AZuVQEt3TBJfj1HzJjJ2sLoX4xoNLeOzwEk7OtxGFwOS4j6t2DOPe26bwmz+/GQutNv7qG7PxtlXE+jp35xB+9wPbcePlY3hx3yr+/NEFHJ1ro92OMD7i4eqzxnHXjRP49fdvQckX+O9fP425xQCAxKb1Jfzr952NW28ZxUsv1/HJJ2bw6qkG6s0Qw1UXF2yp4qdvncKHfmoTRic8/N7Hj2Kh1kWl7OLdN63DT925HkeOd/GFh2ax/1gdkQSmxj1cvn0E06sdQALHTrXw0QeOY/PTJdz3linccNU4vvqdZXz/wAIAYHo+wMJyV+vI9wS8qoCjPruU2OHkuIdbL5nE7u1VPP1sHc+9vorZRgcrzQCuI3D+hmHcdvUk7rllHZZrAf74s8cxv9TV7Uu+g5+9YwN+/QNbcfxYF//12zN45uAKglBiZNjFVbtG8MF3b8av/swWvHyygSf3rZIussQDdKsntRXjFvVPxBbo/KzwUx9mbCOFOU7oA1QDmN1TtvPiLofFZ9TXqvFM53cFyhcU5QB8hV09aGIsp9e2uMzqTA04w8QxoyHLb6qcXoGgTcFFOG1leXT4/SLava6l5XeRV+1V3ut+EQ822fPoAhPDwJXnRIAEPvugh09/20e9lbYeqrjwXcCOP4s3jgUkXjji4D99qYRD047eLy8EsH48wvyywIfv6eLtl4d48DkP7dUU582XhbjxwhCPvuThjz9Twr4jqn28pfbQaWDnpni76Z6tEfYdUauOeboCxock7r42wK6NET7/kIf/+PkSZpcFZDIJPb7fweJqgN+8r4333hzghdc97D9Kceb1PwVbf+QNNjpTq99rtcO8vzYeiuwrr1/z2nJ+KJ4ivfQa37ZxzuXO48Xm3JTTlaS5IKqnAR0JYPhWTOqq6MfkM4fhiLS9JPT1oSIgXV40acH+m66QgP5lulM5hWJLHfai5Kc0uZ4oHpvpKrn1xCrN9rantxkchLYU2LcI/Nm+CRyqldMYWUp85+QITtUq+JU7ZvDec1fx+EwVh2slglPiM69NoB44aIepLgQkxv0IB5Y9/Nu7FvDuy1bwneMjOLhUAgSwuRLg/ResoOGF+NhjU/jioVEsddw4Ho0kHpmuwikB//zmedy2q4YHTo4ihICQwLt3r+K6PU18dd84/uDx9ThUK2vxXEicrPvYur6Nd51bw395dhK1rpOxMW0aJKhwBBDWyvjv+9bjsdMldCJHNxlyIjw3X8cfTnTwzstr+MwrE9i7UNV6OHesjfsuamCp7eA/fn8K3zw+gnrkAFH8SaInZqqYGA7wk5fXcd2WNp6aG0JH9YGxFapHvxkPQVh/c3dgTDk0uCNlPGmjq9Vq5bHDkkd6LZCMR8YTyHiiJs4PIOI+gD5UUYGhGq/qnccKWXmk49ph9JV8IDhs7k3rhPgHziNdHVT1Af2OmfYlFKhL1bRJXXqP0socIiJSOkrfVAZK1vgIuoAOPPlqoNT/MV/L5ULqczXfzB/TJJfyQsec+qP4UQNQf7NOpPeJPZ6ab+FjD5zA3lfrkITPb48t4fB8G//iF3fgF+7ehL9/bBEzi10AgOc6uO3qCVx7/hj2vlzH7336OJ56sabfZxQAvvv0MvYfq+H3Prgb77x5HR59aRWPrCwjkgJvuXAU1904hBOH2vjjTx/DI3tX0epEWk/f8pew90gdf/TPzsJ7bpjC155YwDceXcLkqIvrdo5BegJ//Y0ZfPbBadSb8QveQgD3Dy2h4scGPbsU4GsPL2B82MPF24dw7eVjeOL1JXz6H2aJc5Jpn0pA8K2PSS1HANPzXXzywdP4h8cX0FZHRgtguDKPH7xew7/6pe247apxfP6ROcwvJquzjsRZW8v46ds3oFEL8WdfPI6vP7mAej3SNvTQ8DK2rK/gJ2+fxA0XjeDZV2rodImDydgv6WtbUqTtIrFPbvvUjgxfIFJ71jaqbIYZjR5vpK3xIErZoLomfGsEhB9l99RW9UMOwj/1BWrMOKwef8eZ0rf6JuI8uI4L4A1+joN7ecnuUeb6wUF/K89BcXM8fAbLo0NnLhsNaamnrvNmg178UNxcL8JyL093HD/VC5eF85XSLvkSlZKEBNANkJz4F/+TEKi3kLz3x3XC6ZjQ6QK1FpKkL64jJTC75OCRfS4WVwW2rY8wNpzy6TjAbVcGkAC+/YyLl485iKKUbiSBo9MOTsw5GCpLbNvAv1ps0wuwcTLCleeEWKgJ3P+kh5klJ5mr4/LFVYEvft/D/mMuLtwZ4aJdETyX47X1v62Obdam9/j9vIgCpA2lly+n2YaXMydn8Jtnrzbg9mSzCVjuF+mMj4Wi8cfr2WSgzjxx3topk/vUQUOmZfR9L72SSMrU5EDrqQmH9xffCihYW1vwnrclhtLK2AORQbFBD++IZJYmDQisEy3RhU3tVKd8pYnqS0/0lF8AQiKIRJwokdvSEZhpefjioSGcPjGCi3Y3cdZoJ5mP0/5b6LhoB4RfCUgpsNRx8ZXDYzgyXcbu8Qgbq/ELNa6Q2DHSxQVntfDa0RE8fLqCpa6bdq8QaAUODs5XEYUeNo4GcBKdjvghbtsWYDl08MCrIzhcK2vRgPhwnMOrHuZWBbZuaaHsyYxOtYoy2/gEosjBasdNk8aEp0bo4MGTQ5he9DFSDbFrpKuLPUfinLEOtm5t4JkDI3h8ZkgnjRCx/17quDi0WELZD7FO6RAy3R6a6ZOc36q/re6nYJ41HoAga1MZHAnw7zxmaCZtHIsN06SOlnG6hoshY5B+r07xGyXJY9Q1g0vDBVl8uf6sC9cpqWbbLpoV1sRLkUlWZoxV7hcZDt51/B1IpWf1W7tS7s8ZDQESnFqqUWHVQwz6W8UNfLug0XcMsQ0HeUiVniqqcFBZpZZNAggjiU43Ssil9RaXu/jGE0t47kAdF5xVxQVnD2kaY8MurjhnCI6Q+NoTC3j25TrCMDK6ZbkW4pvPLOHxF1ewY30Zl+weguc6qJYdXHnRKMYqLr7z7HKcNLZDQ3nttsQjz6/ggaeWUBl3cNPFY/HhNL6DdZUSBASiKCJqiA/YqjfCdLVPvVbA/bGhVwH90EAAkvpyZqOhjFBrhOgGah6L7aLeDPH0gVUcfq2JsQ0+Nk6U4LiJniFw5c4x7NpSxcyJNr7z7FKcNBJbq9VD7D2+CuEAmzaW4HnCbsv6AVgihMFjjn3aytUDCl5X/VEPLmyxEn1QoR/KJbLSsaMmGgFoQ6N4lPzG/KnuCUaLjxlCn64+WkNBy7gp8heS6zUf3oR3HClzfVDMAHdyNhw0SKP18+jZymyO1VY375ryYeslfq1nGUsbPqPZDNUmZz+yw1pnYRU4cMLBHVcH+PA9XWxbL/Hl73s4MuOg3RUIQt4P/JrThzmQLDLWGkC9BVTLQKWU9p8AcOlZERZXgUOnHHRpUJjgCKP4tEThACXPLMtCfH98CNi8TuLYrMDrpxySFKZ8zi8Dj77o4sM/EeHsrSGqJRerzSyu/vqI9zHnsZhf+/28vpUF5Taavfjo14Zs/PH2/Y6ZvLFzJjq20WZ0+RyRWXVgZcop80CVb/PTZC111G39IEXYVaIg8zkOMtHwd6Q4TU1C8QzyPpE05eXb5jgOMBmt9QWpT2hzvg1+zSbcDUoAM00XTx318I4bQmyqBvCERJfQFxIY9iV2jXRwyVQL20Y6GPHjCNMTwLYRoDrVxsRIEAdYjsSu4Q5K1QivzLqYb3upiErfjkAQOghDF66bTvKbqwF2r2tioe3ilcVSmpcQc4sgEEQO4EsSQ6VKKcqvrKab1F/puugGAp4rtXwAUHUj7B4NUSpJPDfjp4cIGQ8pgCD5PIHjsaCFyk1tgT/IsAYh9B4rt7lIwHx/MGNrzNYFAK8at+8u57gKYluMrQwNvkWc6sGQjcsOsvU7AlqLQHUdILy0vs3lGCcT5vhU7oeAdHzyd6f0igodwzIJ8IVhZ+ZWdUnGXMJHZis5qaPfAVT3mL+g8pkZqqkHY3VC0SX8UoUpVHoVnvhc0N+EN9XQ0Fdym75vRrfyOpY2lA/bR+kzNIGZxTb2HarhpstHcf7uKh56KrbPzetLOGtqBMfnO3jp9Qa6ATthJNHJwlIHz59cxZ3+OLZsKcFxJCbHfJx7dhVBO8IjB5bjpNFYbY112GhHeGl/HcGdES7cPA4hgIXFAD84tozr/GF85N6t2LGlgr97eBavHW/FJ6oGUXYu4dfGLgSY+pGkrm3lnpYpfQqJTidCfdWF6woMlRy4DuJ3tx1gx3Yfo8MOXjsZYmE5SO2QJEatTuzrfD9uk90lQ2jLlK5hR0a9PMeE1FZgsQ0BsnIu022fNInjcQMdD/Rhte23tlFuy8y/GQlqxnEQvajxzfkjdOlDbmNFmY4tpHxY3JcNziBx5M6xH0r9BKnUQfEOz4xyhtfSmda6lE4/wPm28WSjn6ejPH45XuY0rXxTXJLVo39jaLYFvvCQj83rItxxVYhfu7eL97+9ixcOuXjoeRcPveDhtVPqBFOTbyltfQLTKDM8m3JSbnwPWDcmcXxWkKStHxsp7rfhanyC6koDuO+mAI1Wto7jADs3hvA9YP0Y4PsSaHIdF+nSVt7LPnP0Z+13m+3T+3ntOJ9FkGdLmegqp20/wG2hiB7lqV8+GC4VrFAHaUMPwAzKACNBU5X4SgNY+yJ2VB2jLbMR62mWyHYt31qqAn8daCo+hbnCxVcvqWvl9PQ1qZAbOBRcU54FDD2JTBCQstGRAtON+MCsjZUIZVei240r+Y7EtRva+PAV87hpRwvrql00Qg9S504Sw+NdiGoEx5eABFwBTJYjeI7EakfGW1wVXUdk+kKQi/FSiFK5i6UIcYKmZJGkUtJe5NinbUEqY/4WXWQWm5OLkiMxWY7lWmw7CCJk35XNiy90vwsiP6tkm47oD32oAws+bFN2hgZMuzKGuRq7APxKXNBegU4eaMBD8WUOoaF4mV9U9shXRDkvmfsR0FwAKpOAqw4qYvrKuDEmo81dg9RV/Oott4K5S5FuxzO2salrpKtr9Dt2CugBHmDXNDg19Eb4U7xQA7WdmKr9Jh1nSNtQGzVWUkTKI/n2YEybyWQ7uVLVp9dKJzp5ZPJSHVM56HbdBFodicXl+GHUWZMVLetI1cWGYQ8n2k3MrwaQts97CUBCYHahi24rwvi4i3LZQcUTGK96CLoSx063iY8lbRM+ppcCLDYibBt1MTzkoFYP8dmHZ7FxsoK7bh3FP3vfJnzw9ik8eaCGR/et4rvPrWD/4Ub8GQ+ecPBdKPp9Oak7y7QANuZ0t1HDTvSm0SqPGBtwyRMYG4+f3h9ZaiTmS/hgZAyO6Yoe/a3vE9ugc53x0IjSIgNV+ydqP1xO0h7MdiiPkGQcU1tM9aDp0/EpKT7KO1O68gN062qq8FRONW704VkSRp/bgD80yNDPhzUkjkq71FPaJs5+6+W1swEf5XzkF+FU7Y0e70E/j0YvHP2Ucb7y8NLZx1Yvj54xixq1Dpxw8O/+poLvPR/grZeGuOqcCLddEeLtlwX4wSsBPvrFEh57yU1WH1MDEoLzpAvI/X76I67juekOKiH6bWuhz6DkAsMViQt3SvzLn23njgHPi3ckVUrSsnOvH11zHffTL71+5+HrRcfW93m/+6FdxG8ezjw6nPciu7fd71Wf3ROAEVhwFoHU4dJASSViNOnkLBi4pNm+HzXzwIwHNHQCswV4lO9MN6syS9siN6wmTxAeMnRJW+qOJNKTMlksYTz1BGCuMjH5EQdYrTC2EUH0JQBcu76JP7prFudsbuCZ41U8d3AER2eGkq3tcbL5wStmcNEFLUM+CRJ3cPfFkh+tBglIGW/9BCQkZLbfDD2lwU+xjaahkdUnFQ3v5DuNktbRdi6zfdvLfRn1+/fZ1uRCWq65DRodgLRjKG7Fiz8U/+0sx391UMjw2voko1dmy9xl02SEPiQxeFfvPE6ZB+aA4KHkeASc51Y5i9znUDBOTKRjzTJW6bV1KsjRGz8hkifqBn2LjwRvQ+oZqx7C3od0etB6VH2T3OPvZSqb0ToXqSyZLXxMbtu0Y1NNCATJgTglN63nOvG3sIMO0A2p4gjfiOXodiWiUMIB4AgBIQS8ZNWu3bEcSUv01Q0jBMnhaY4QkAAOnWjh333uEB7eP44brhjFlXtGcdsNk7jlmgncc1MN//5Tx/Hw86vx97Pz+tB2bfGLuePb8jejPkeZavx/EEZpX7BxY6KiNkN4ovwZySH1E5LUk1la2pcRO+JzOR+TWn6Z5YvaaSJzFh9pY9MxkM6PtDyzZZT5JxsNIdLV0lw/YBmXxF77mxPWlDhyL3mm9YqCzKLf9D6fBfLwcusv4qMfhRXNAmulQYdLnjy2cg62+rRdWi+KJE4vCHz5YR8P/MDDhvEI118Y4kPv6OLGi0JEsoulmsDeQ66lfZa2uRLJ5ePRZArNNnB6QWByVGJsiM62FBdvm9ePaXknjD8x8vopgc8+6KPRyu+rIAReP+VYPslh6wuwMt6mqF2RzRRFH/QerZ9Hl9+3lWeiJ9jt0NZO1cnTFwcbXhsfHJeNF15m4Y+ujhUBnWDoQSAKvzH5FOCgbNoSSRrUG9+FlOa7WUaClsjEk9sih66fskv2PhuRRckjCK+2BNo4CAj2pBDsN33HzFhpIteCIWHd70Ci6kaIJLDYFugmK4TryiF+7pJlnL+zhr/83hQ+9vwUZhouOjKNpn0R4YatJVx4bjNGKOL3EOdbDiIpMFF2UHYixEuUOZMp0ddix0HQKqEy2sJEKTLKtL75/lVDP5L9VP3ClMiDYL6Kpu5LoBMJzLfi84/Wl0N4QqJNK1ijXot8io4qz7NxOlypndpW7nK3XEqzjeT1YdiA1omXHAjUWsqnpR9YcFsmvBvji7SjAR/XE/1Yu0NoNueBoSlAeHb3yV2ZegilfQyRgfYFYK600dVtuipET0qUMFfz6ImstJ7hpgvmINpXgF2XGoVEuj1Opu2VzzI+iUHo8UTUNv0Yq4rkHl9J4e25ThQ9IItbBdUZkBZZAdcTKJfjcxKm64Hu23Y3wmoLGC45GK048bdUc8bb2KgLv+KgE8TJUxBFaAYhHF9gatIH1OcrtDxKDxITVR+jZQ+rQRedbuyLZAjMznfxpYfmcf8Ti9gw7uPGy8fwT+/ZhKsuGsXvfmAb5leP4sUDNRZaMHs3Vr9EUsR8NJMl1Q2bY6CGt2no3Y7E8mKIKAI2DJdSxdKdvXza1NuI2XzOzdcmmx7TFl9K+9dILCk/1D9Y5kkeK9CxpVa5BZOP2rWe38H0KU29cr/Gk1U6ZtUURf0ApcGHvoFDsHGDvmGNW1ULHNCa6llGaW49Bby+beYpas/v9ZLDxtcaNJupb1huH/Vt10X0OS1b/fh3GAErDYGVhoNDp108ts/D//0/t3D5nhBXnxfileMuOl0bD7QPaKmAnVY+vwdOOHj7ZSG2rZfwXEneseylm7z+Fmi0BJZq8bbcB37g4dCp4rOfVFxg6ovykTf6eBubnfYDNvuwtS/iwaYX5kRy6RZ64wKe+vUDvI3Ca6PPxzMf70V6ZpMivc0DUzVZaDYIHtuTdFtQFZG/jsg57proz2Cb/KY4VBv1NzN5MJny1EG/KWkkuGRyEoQPzhvViRFkEBr6msltcc2RBNphvHoojGAzrVN1I5w3BXQ7AtNND+1kNXGqEmDP+hYgBD7+4iSO1vyUliDi0kNNZfxQaLrpo9MV2DMZYaIUYrbJgn7BUCU6WWi5OF0rY8/WBnaMdPH0nIqriC4T/eYGWvTauiKLVNeqzLZ1GXG9dghMN+N3wc+ZDFH1JOoBzD7gboC7MWO7qGXsGn1LAxxiaPwBiAqouM0qGkpOLTNgbCdXtqptNsFRSpJHetoqlUPApGVLTA3bF6mOuY5owJZZgSE/mgvxO4/w7O5LgJ1EnOOTJPknCK+ZLWNI+yGz5ZT4MRqkgtWhp55yn5E5WTWpr3Skv2lHaTNeNN8KT+Jj+Hcqub7UQxSNW8D4xp22RSaYDs6JMLYHhoZOmIwJ4TACZKSetTnZ8SMlRodc7NoSnwL96vGG1vviSoBTqy3s2l7BpnVlCFFLEx71njmAUllg6/oy4AjMzQbodiRqzQjTi1145zg4d1sFjzy7DClpP8a6c10HWzZ5GKoCry7W0GqrMRjXiSKg1oxQq7dxdHoGT7y0gj//zXNw0YWjuOqsYbx6uKGTzQxoPVv8t66TE2dRWyUn6Qog019SAIuzITpt4OKtQxiueqg3wqw9E7ZAnu8Z9qT8B38HkW4LpX1obH0m9zUOYhPaTxGbor5SZpRj4oQ0H+woXijv1M9oM7TwDlKPJnmqgjpFVdU3tnIT/DafwNmnD6Ay2+SLYQ2nqvbixqZY60wIk7vMiCX/BPnHcef9zczQOTzwun1oy4Be9SX7Kyz3bPxwPZwJUJljHI4AhioyOWgm5SmSEvOrwEuH45eaK6V4+9ebCuxxXCSBbz7tQQiJWy4PsHuzhOum5QIxH75rICkiAAA4vQi8fMzBzo0Rbr40QLkUn9AaSfU3jflLvoQwdFxkJ0Vl6prX4f3eq1+ts3+P8l48cFxF5f3QtOmqH5yqXpFXyqPVZx1jT7/6zZszB61OIDWCR9bGdkiO/uwFZ0eye8IsM+oRXFQc/u4aR0VXjGygV2IYfw6RXbtYEsApvnRMlqNP45rYsmBMJeX1QOBEPcKoL7GxGqaLj8k/T0icN9bBJXtWMX+6gtNNXyOIouTAFylRcth4TXgY8iU2ViVk24fsxEF9CIFj9RIOHS3j7F0ruHZ9GxPl0IhHXEhUvQiOkEZcsBq4ePCEh3VehDvOrWP7cAcuUbgjgYobwXUkjHccbZeZaU4YD7uN0yAVDe4mIokgAg6ulDB9uorrz6vhynVNDHuRoUcfEmV9yA9MPJQf4yEH7y91YQuqSJHNPoGszdG+NngS5j39EEOm16UqUBo3cQlB3nEgNHVbjouUGSInv/X4ZwxSW9YyhHHyGAXpCcw2l17oDsm41B83l6Y/oCuPVh2zga9WOYwEUOkqYUj3i4zv0fclJWlPP01io2X8TJRrJOkipad1YdOpyOpMb7GD2V4liorvDB/qHvELOvmQSD/lIg19Lq8GaLcjVCseNoz5xvMRiPjQq7O3VHDlOSNorUq8cqilZTs938X+EzVsnHRxy1VjmBr3yfQW03c9gYv2DOFt549hcTXEgUNNBCGwtBrihX11RI7AO6+YwrZNZThUtgR2bCjhrhvXAxHw2IEVSEg4DjBUdVDyRSqvEy8EzC0FePlAG0ICVd+Nv8cogCBMtsRKiZJLOljpSOuY6B1IDpCx2B8dS+Sd0Lzp6Okjqzgy08KOc8q459p1GK46sR9P+sd3gUqZvzirxqWyS3JPrxpTuxapL5XJb/p+o+7/tH8MP2A8WBAmD5rXHB0Yc6ryTcTmFb/6gQf5q/0g8fuaLlI/wCcSfY8yIY0qqX1QfJR34vuUjlW7Qh8WwxluVVVAJpm+A8g8fHRGVbgluy9ZOzqT5eHhfNqA4yfGk+G3CBfFYysrgqK2Rbxynmz8SVTKwO1XBHBcgVeOOlhYBdpdoOQD52+PcMlZEVodYH5FIAiK+M2Tn/OfX0dKge/vdfHsQQ9vuSTEr7+ng394ysPMYvwuz+gQcOlZIc7eEhEsZp9kt4ZIzC45ePRFF1edE+EX7uyi3hZ49qCDpVUHQSgxXJWo+PH3IX1X4vH9HpbrNrlsfSFQLF+erfB7RX3cS7c2nJJd28ZjL/uneG06sMlabG92G+X4uQxcDq4nWxsmc2abShEPtJpynAQHXaUxtnCpiUsQVmS6emLb9sW38PGJICK0+DZWChQ3/4adktFYTSS/IUzVGVkMyMoNp09kUokt7xuFX7VPAsq5loeDCw7edk4L9+xaxULLwXzXQ6vrYMiLcP5EGx+6fBEbxgJ849kJ/fIerQAAIABJREFUHK2rxFFgvuXi8MwIrj+vhX9+WR0ffQE41fAQRHECNuqFuH17DRfu6ODInI+ZFRcy4e9Ew8OXXxrDH2yfw29cv4rNQxEemy6hHrkoiwibhwLcurMGb6gDoVaRRByE/d2hEdx3Ygl3XryCdsvB118bxlzbg0B8eM71G9vYPSFzHruS9FY/8Ce60mardCrIfQHTNGVi0gIvL5XxwP5hfOSWBn7rxkXs2Bti70IJ7chB1Q2xfSjANZs7cMqRnZYCY0usMPuaBiR8pVvjUeMD2XLV/3RMaBpCV9Ft6CEVxu+ETz9ZeVSnrRqqJONG6ZHy4jC6ui3hqdAtsjHkCECG8TuPZXpgDtLxXQQ0UeN8ZVY8CW2d8Kg2zO9S/QlWBot8RpIKU2dMfMMH8g+PC6Y/w+8yOwHICZhJeWa1i3Qw7WMlV68pTOmIr6DyNkn5zEIXr7zcwh03j+PuaycwvdTBqdkO2t0I1ZKLHVvK+NCdm7FnewXfeGwJx06nJ+21OyG+99wKbr9qAnddN4mDR1q4/5lFzC920WxHGBvxcNa2Mj546wZccN4QHn5qCc8friEI489mPPzCCn7meBNXXz6MD79jE77w6DxOzLTRbEkMVRxsXOfjZ27egOsuGsGBw3V8/5nY/keqLm6+agyu4+CVow0sLgdodyL4JQcX7q7i4vMr6AQh5usddLvxg6VWW2JuNkIUCFy1fRjrJ0sIQwnhAqurIXlHE8g77CujPyOxEWlPCWqH8fUrx5u4/+EFfOSnt+LX7t2GqXEfzx5eQasToew72LauhDvPn4LjOcSUiU803lclNkeTIT0+mUHT04L1Q04+Loi9gFYRMJJPOmdzv5exz6SuhJ4HDdx85ZGCJOWZ+b/AZ9EHZoZcqinVCxur3Nfn+QQCZ3A4Dr+mv3uNbhsuCjb8kpXTMhsPNjr0vu3ahi9PDl7Xxk9RWR7uIl6K6tmus/1R9iTedlmI97wlwOsnHRyZdrDSAEYqwGVnh9i5SeJbz7h4/jU3fscoFywTXi4PfEJL65ycE/jzL/v49fsk7ntrgHdeH2BxNd5CMjkqMVSWGK1K8g6i2d4cUzG9Zlvg6096OGtLhHfdEOL3P9jBgRMCR2cctLrAxon4ncqzt0T43gse9h52sVy3RX9FfZBno5kZytK2V1kejrz+7VXWDy/90uY0i8Z6P/SLxkM/45u1oUmcANJtMz3a6NvMrqXlnmKDfoSYBjkSLJkjbfj2UR7Q6pUG8pd+nzEjijCGmBVvRi6Gy5ikYCYVdCsPiG6LPuthoTnT8vCVV8dwzsYOPnzTIi5ZH+D1FYHllov11QjX7uxiz/Y6vrd3GJ96dRRL7XSbwXLXw+deGcJ1u3zcfd0cztm0ihdOltAKYja2jQhcfW4NLUT4xOOTeGXR1/prhQ6+fmwUux4L8YGr6vitn5jGR5YdhDUPYiiEOx6g4kk41Sjtg0Tvr6+W8cePbMBv3TSH9964iHuvXkZ3MX7v25kMUKpIjFSi5Ek40SnRgamG1B/qT4RJpIkn3V7M9ZisDq0GLv7m4Bg2jHTwnstXccmeBrqLDsKGCzEawRsNUS1JiLIk7Sk+YR5mRO8rMOSw2AVNLiOZXQEyaBI+aFDCZVVjldufolWqxn/by/akx7b6KJAGSpq+GltEBtrOqhuiI+0PIqCdfKrD8VKZVPJqe1dV4aD8UB0Z3x0UqW0YQXMinDrS3/iUBkGn6yHdNimI7KpMy08SNb4jgyZ+hl4TXGmkz+QQ5nZAJbfx2QmCl66MUlDJn+Gz+GCjhcQA1E/j4UXqTztt4C/uP4mrz6vi/XdtwEXbR/DyiTpq3RDjJRfXnz+CnWcN4en9Nfz5l06i0U6Om5cCUSjw+L4VfOaBOfziPRvxOx/ajruvGMcrp1tYbIXYMV7BpXuGsXWnj9dfa+CvvjODo6fbkAnvLx1u4C++chr/6/u34UM/uRnXXziJ/UdXsdQKMVn1cPnuIZx1XhWHT7Xwn79yCodPxUlruezgbeetw713TeDU4S5eO93CUrODsYqPK84bweYdPp55rInnXq8jDGL9h6HE00dXcXK2hVtvnsTvOwLtIMTppS4++c1pnJ5Lvxeb6Uc+R+k+ISonnzYRhrHE0GpH+Kv7p7F+3MO73roO/9svb0NteRPa9RCVUQ+VYQcjVR+OS30m61O9NVbNSalfNBJZwBzrBijbQ2rDmldB2lE5uU1ye07aqrFG0w3J8CugdZWcah4XxFZpMqpiDgfIjBGFQI99KgeJv/W7kKQNkMqoYw4rgQyc4Xcc85DbOiuvXja5sbfLK+OzlQ2Xjb51lrPUyXhMy7210MjDk8c7rc8h42EtOGHca7SB7z3vYtv6COdul9i+IUC5BLQ6wGpD4FPf9PGZBz28djJNpDpd4NSCgOPGCZ2iI2V8CM2xGYHZJVWWhXZX4OS8wGpToBOk7QGgGwIP7fVwetHB2y4NcPW5IcaH43n36VeBWtPBrVcE2DpFvwgc015cFTg67WC1IYjPiLfdHjzh4KNfKGP/kQB3Xxdg+3qJc7cHkDJ+j7LVFXj2oIsHn3Wx2rDpMau7bL/Y2uTVy7PXvHtF9zkUjSFerqDIlm1t865t9s/5yZO9iJ+i8h71bKskgH0iyayqMZK8Lf/LQT+xJI6YruDRNnoyYDj5ioMr2JN6IrJ+v5Lg0kEm4YfKaExEsKhWpPWNQ2+YbuiWHq1vNemZeDuRwANHRxB8D/j5C1ewc3cdF5QkSm6EbuRgZbmMzz60Af/jwDD2L5bjM2wSeSIh8OhMFb/9jS34wLkruP6CGm69ug3fkeiGQKPt4fVjo/irfWV87dho8n1DpUvgdMPHn+6dxOPTZbx1cwdXbmrBcyMsTA/h+KqLyWoX996wYvajAIII+PqxURy938PbN9dx2w5gqNJE2C3h8GsuGt0Id17cwJZddUMnUgILDReH51wsdYjOk+46teLB9SK0k6Au/dZnqq+TKx4qcyXU1LcaSSLy+qqP//OpjXjo+BBu2xJgz/oGHCkwe6qMo6sC56xv49arlk07AVI7FGAJkmXsa7tlQYyWk9ShNslX0WDKn5nqmM6NpEcF/qqeV4mvO8nKIw3SqC1rGWDisG0t0/hp0MV45X/VtVCf6kiSx8zYzvERFFRgqraI8e1yur+S+g5S32Ks7MDsH8WjehdKvTtKP1GRCsLklhY+CH/0IZJGxWSHMGWQil/BypNrIwEgda3+lnSEpPQoGyLtTx38W+ZTCTy5r4Z/8T+O4H1v24DzzqvgHeeuQ8mN44jFlQBffWAWH//ODF482IBU/CcoFldC/OUD03j1ZBM//7b1OPuiKnZeOISS46DZDbG0FODTf7+IrzwxjxderaPVSeVpd0L87bdnMbPcxb3XTeHSS4Zx++5J+K5AN5SoN0N87f5l/O0Tp/GD/bXkvAmgVg/xvf0LOGuzh13nVnHtzhGUPRetbohGM8CX/mEFn/zOabx+vGX00VMvreA//+0pfPC+jbjlreOQAJ77wSp8Lz7VR0bA3EqAI6daqDdD0KQxCCSmlzsIfYmmOgVWkA5wgDCSOF1r49gpD/VWCCkFINUDOYHjMx384V8fwyP7VvC2c8awa1sZEEDrcBdHZ9rYtb2KW28eJX1k6jqdaxK6fKeMsQqq+jcnFqAGwG1fi0Xo2eZqqlxah/oSzrvigx5KZCSrFl9M5VWHZNFP0Oi5Q/k65VNUORk3xrC36JjutMpXmoY3uFVVWMosCijEZ6vLoxp1D5b7eW15G07XVjdPRsoP+rjuV1f93LeV2fhlBs1+t7sSDz7n4ZXjLrZNRRitSqwbk5hdFliqOXj9pMDscuw0Vbvjsw7+n/+3jGoZqJFvIoYR8MIhB3/yuTIWV4GVBuc71seRGQf/6Uvl+LCKxezKXjeI3608fMrH1x73UPJj2212BEYqEmdtibB5XYRukMrYDgTuf8rHviMuXj3m6GP5KW+HTjv41Ld8fPd5D1umImwYj/lZbQKrDQfH5wRmFoXl1FX+u8jObH1N7cCGm0YivE5O4JVbxvub0ufXeeMhb5wJy+884GOD826710vvNvyqno1nVcwmAh54ZFY7WPvMlg2Cw/b9OxpIURoqCeQnUtJr/XSQ0aLqoOaiJgoaLGa2vBFZ8g5b4fLCUs/4zAaZ9HQ3Uz2rMsF4TXWx3HVw/7FRPDtXxVQ5wOahABN+iJWui5MNH0drPuY7XvxEnuGLpMBjM0M4tOJj16tjOGu0g9GSxFJLYLrl4WTdx4mGj2bkkMkzYUUACx0PDxwfxVOzIUZfjiCERBAJdEIHd2xr4D2XNRBEIqOCQAo8tziEgysV/N2xAB7GEEGgHQpsrAS4YEcTmzrCiIFbgYOvvjqGZ44P4dWVEuhG+1bo4M9+MImyJ3Gs5rItlmnQ8rGn12HcD/HSUiXbX0LEK7hHxvHwqQDDfhxsdSMH7RD4pQuXcEub+0RJDsIgQYxIFKTsgK9062RT5K+iGYlEzhgWyLbPm1KLVut8cmAOdzU8sONjkZ5inBkThAkbXoM3Iqf+VIdaeWR+U8I8BISvlOkxznyWKlO0bA+GuAyaT2X7gqwaJRW0nnL6S60Q0o+q5/mPvAdxPJGFTBNeKrfeUqjsR6Tqo+MhQ5fyT+vabE+a9Sific2GkcS3nlzEvkMNrJ/wsWHMx7oRD+1OhOMLbRw93cbsYjd9MC6R6lgILCwG+MbjC3jxUB07N5exbtjHWMXFzEoXM8sdHJ3uYH6pm2yfJ7qFQLMl8a3Hl/DiwTq2b6pgw5iP0bKD1VaI6eUuDp9qYXahazy/a7ZDfPfpZew/0sDOTRVMDLlYN1zCzGoHS/UAh060MD3fQUQbRQL1ZojPf38WLxyt4+yNVUhIHDjVxMx8B0B82v7nvzeHx/au4vmD9ThJTgSeXwrw8ftPo+K7ePV408SdnLK7Ug/x6UdO4Tv7yth3qI4wJAmmiPHMLgT4ykMLeOi5ZYwMuRBCoBtEaDYjfODu9Xj7W4aTrbxE2cr/QPU7GwNqTtT8MNvJG3tGBR5DkPq6WP0m8yXdQq4SOs0Dwa/9roVXRVDJwbeTGnwxn26MGcW3MBNTW1ym5aFzAcNdGI/FsMatqooZ/rsXMV7eD3O2OlQRnB9+bfvNIY/3PF6F5V7efRvevHZrrcN55/U5H/H9Rhs4eELg0CkHjogPpAnCODiLLKuGyw2BJ152IRDX0xxK4PSCg9klCSltK44x7eU68Ph+F1IicThZuSQk6m2B+qypt92bI1RL8SrhzFK6Rh+GEq+ecHDwpECUCfhSHLWmwMtHBV497sB144MswgiQUiLMLMfbbMmmS5NGvt0UDNxcHP3S6FXHhq8IT7/2RsupfP3aahEfNh7y6gpLncQB0u1R6qmf/igv7Emj3m4is+Soczc+Ki3T4EqLINODO/SwTOpmtiIKkmASnIZKEploO/qtSXJ6nyGv8cmBAtWZF4QuryeQ6XIjyINZrnhXATsASIFmKHC4VsKRWgnuoowXUyXMpI2uYlGIJE63fMy0fDy7UIULiRACoYw/vWHyLTL8BBCYbXuYbaf3XCkh/BBwAiw1q3GwZJniaqGDWq2UBu+OwEQ5RLUUIZgbQRA6mm4ogVdWynh1pYxICiPHDiTw2NwQACT+hwW2ya2n56vxw2U9yYuUp4S/biRwuukBrVRfvpAo+RIIgUbDIbSZQoVgfUhpkL+0nH8GgfKWFwYYbo/Q5Do2pjHOK7um7zxm6gmTV4NfwgPlTdO2yMHHD1211WUR0CbJI3eLXMdGW8KM8W4W8WfqWvEnkYx7ZhOGL0hu0lNqaUBJT1JUAa8KytXnPIwQS/Gj9CfteCUVmPEsYAaz3K/RQJ2eDmkIqfqBFCn+JMw6+lUCkerHtsVVAt1A4OiJNo6dasN1ANeNHwYFgTQeomvZNY8AhEQ3FDh8ooVjp9pwXAFHxDFKKBEnjGpvuozrU+iGEsdOt3FiugPXBRwnTuLCMD7MT8uh+0Sg0Qpx6ESEoydjeq4T75CIovh7kcacpfUlsFKL8PS+VTz/arxLIgiT+gCkEHjpQAP7BU0MY9mb7QhP768l8ZMkepW6f9tdiX0HG3gJTUTJzovsKhjQ7UaYWZCYWejqLddCSIxXPQghsLgUIAxktq/UeAKhm7ln8XP8YW3R1lNtFkSH3IepG4aPEOZKPh0XmXGi6iibYrToSiJfRU3sLUOH2iWNIwTMLelqHGi5FG5h6jIjuB3e4IrjmULeLMMdaF6bjAcneITlN79fxAtva6Ob14Y7vDw4E37y2hnWbeGV8hLfC6P45MEuSQZtNKRE/CFZWy2pksm8PhHJ9lBF3+RbCOD/o+3Ngu040vy+X1bVWe+Cu9+LHcRGrARAgCBILCSIlQRIENwb3SR7J7t7pmc082QpHDEvkh8cYYf04HCEH+wIK6SxQyE/SCNZkke2ZkiABJcmCRD7fu/F3bezL1WVfqiqc7Ly1DkX6G5lIHBPVeW3/b8vv8ysrMpqT0kSMe+7SJWql7BNEzrTLq/sddixzuXeuLcaqmLvulK5m98cKxnY6ur1dJqomFGvRdkYbXOYppW/VEyidGsVA2pZLH51vXTaKP5R7bNZZ6633WY0j8KvVV6IolPOCbRBhTaIUT97EVppC5K4Rtus49HvCjYbbKvXA5n65jOtHmkLOqqGVU+lMwl4BHyDjiJKv4AmamVTvVYbcEbopH4/T+3AEGE9mr0rBkjXW/GzQyGk4q3pG2AhJa4hqLiCxhWMCFuBuCHpsBxcPLqSI4gZkpgB6zurvL1lnpJtcW0yjaPoIoSgK+5gCu9dyarr5ZyYKelOuPxwY47NA5K/vS7IVsK21vJlRDdhyyAOITRZQaMPDSbqWKRMh7aYxJa+PTYkDEnCkjzTX+bY2gLD2TjXplLejcCG7lFpT7oPo1bW1ZioxW1EvDYbZzRbJQtSo/7IaYtvWdb4xVLeiUomrJsey8jGOFxUR+W3nuJ0fwY2BCuPiWDyKOu+1XkHh6Hv2Ck5Skrlt66o8N+pFdQme2oJPYaqBE3thlJwOuDhn1dzpD55DNUPWKp01G/WBedCeisgqjfq1DzW8ASFUhremdTzpn8c5KyQWD0HqbHuV1L8IAHbBttVZOhFz5uK7xxX1scZqk013GRYB8VXrpS4jvDuLuH7tvbOK+F48Ysjwam6VIPHnQOfhiYbfsz5seIKqFSDc4R0c/Q2pHzqwlF3f45aVUa5GVbDStb610TCYEmb9y3LclViOxLLhFTc5MmVKd7Z10eh5HDrftF/ukzBObRyruAuJerqb71tajlNLc2+IRHQ6TTBjqgNq51qYlDMDtqGujuxoP7YeGBU7d12xc+CRTFuzI2B/KDNKvkdX27oJlMgS227AXsZznmLlN/zHUe96J2JHoUi4vxi1x9FTqu6j1JP7RGiaPTrUTovVlRnRiT2huNm+jTDJopXK5wfBeNmejWT3ex3FL33O25J3jxY5eQzNuNzBhOz3iQvnYQtqx32bXYpV+F//jcxMsVmmDTTt5W/F7v+KH5thbHuh2a0zfi18luUbCJoFrOjFQ4qr6gRmS6rWdt/nHb8qHWidGmS6WoqaEnY78waTRH1wWvDRjY0dk7NJn3BwChYYa/BIRTYRbi+EOEOryZPKCZrNLXOQUSHXDP99E1Yapg0Oa51aKJuQ9Rurg2ytNipdaKqHwhjo68KRfmnwc6wGFXvJ5eU+c32eWIdVaaKFmOFGEviDt0Jm+OrqvT2lfiP33bw7x60eSuXfoceMyQfb51h+4oiY0WL2XKMsiPoTdhs7Svz/OoC4wWLf3m9n/mK2ShffyxTtZdFjqNo/bJvoMjPnpqjYAmmiyaj+RiDaZuBlM3x1RWSHSX+5cUuPp9K4qDx0f2m/w4q1gYRmq/VdNAsrTWcE4326yuC+rVWaT7Axkp5v4PvPD4qxhBuO7p9kUW7qKdFCbjKY6umFW7zqpxQ+vIHpCozdSVHNaC2I7OqRzCgpbF+Qw5HmVxJxY8KQMojnOEBqGKD8OXW9NXbuMovuCQaB7TqjQp15SQYoNfaoqzTqyuoNVN9e/RJsa6EKj/qBlXt/TEVSxU/v27DJEbBVF/pa/AJilzFDwGNJIyxvvoUsl3ho2Ic9Bnq5jbB94+EpmsNv7DaIdwi/afFnaqniomoH21em+IffrCSuaLNxHSVTM6ms91i5WCCPWva6B2K86/+n2k+uZz1VjzVdhC12ZyeiBriToTbXo0sok9Ub0LU+iGp2BaBg4px6AazykvBIioP6R1cJMZavxu0TRHG2JuYanEf+Ld2k0nNe0GsqHZSt7XZzexAQyF+34ljkwaqGv7IfAIa9W/LTB4hOzin0+s8mslbTK+o65ozmtIvZpNo8jtKXqtzqpxmuugy9B5Q1/mPVdSYELX/O1Lw9AaXRMzFNEAIiSMFVdv7HuO/+FuLf3/Rirj5p/NrZpNOo9ZRz7WKF/V8FMbN/KDqqcfK74Pv49A04t2cV6tYflS9o2S1wiWqtIrPZrpp9UMdg5awHwW+WrLXzgV8giQL9Q5DvQutJmF9ctgwwKDOR9VdH6hLlYdCE8iIen8syo7QypFyWe0MozbzCeQ4Unn8pgG08GAsNKConWjkLdD01ztAhTy0+qvZpU+8ffkGsG5JlZ3rchim9G6TSpC2wC7F+D8vLuF//baXB1lLUVWCkPQkXI6tLiLiLsL01XcErg0X77Txz7/v5O+H27wJmtR00Y+Dwa3RBGNVdmBjRBHAlm6HlcuKGIZEWiBcz57JhST/4nwP//ulLiYKZmhMGl5hV38r+AY/XLxNmdSYD+jVTXVqH4hX6ur+DE2CImxtaCNKvaar0P75WMrjXZ5XdFBjK6JtBIOp0CRJu6ZjUhtUKdiFMAvq+xvmpLTHVlV++rnQKqGCgZpLghJqryJ8rqFShA21c0JJnc2SYoCR1lajbBcaXS3e1NOiUZdQrkSBVtRXZGo2azQNtgX+jMgj6qZCEO370A06wu24YQWqCcahc4qMph2P1n/UqkbUDzDV+5xQLKgY6XUVJdVVsQa9/f+CSYWuY9BGGlRU+zdFryBtGLBteZrOLhPD8DZbdF2JdCTlrMs//w8T/C//aoKp2arPW8+NivzAJ4KwX8NGKPgoNGouCsWWGoS6jY+AsR736uOfQV09twQYR/k08j1kGX0cSpt6nvTP6bk0CmM1z0XFtF9M08Q0TYSUeitvLOn/9p9Q/Pt/2KKGbpR6nohrDdki4ncU3WLym+nxOCWKh6rP4+r8h+r0KLYtpnOz41b2PI58nXbxukJ4G+B0d0iGuiVrhlySccnUvODWmMlcVrCQF1TtJg2mqexWpVVcNfPxYvx03aL4Lya3GW5RdH9IrP+hNI+C/aPG0ONi3OyvX2cFMIDSqags1MRJOGHqEzK9ftTgPvQ4n1ZHd5mqS9RAQVJ/v7LlSib1zsiN0E99jFQfcKudmK6TKkp9h6VZiqtN1IjGWHeR2oHp8gKZOiaBLerfKJmqbFDqeoxipqQn4dCfcliWrrCqvUq2KniQizOWizNTNslXRf19wqBflbAk4dCdcFnRVmZ5u03KlIzkLUZyMSYLMTIVQVUadfnN3q1rCFupvYtLo19Ue2r2CRKGS09SMpiusixdYaW/kjqciTFWiDFXNSlUjca5d7PNaQLeza5F6RQMRCXR7/3V6ivHKkZRvJsdq7iG3glW6tlF71MdKo+gfuDXqHjXY73V5zhaYYVSR+KNktWVRzUYivPw9b/ynv0L0QZt1q8frGgAtUfZ1B0Va+9b6zyor5wFsRYYH7TBhomA5riQbF++LlsodPokRvV/8O6l/j52w6cUlLagruTU+EJoIqhiHvxo+CyJoo9e9E+VBI97qtjpeqhCXUWX0CSzSZ+m+jWop757L5rIDn2HULEzcmdONf9ovkCG66nngvqhd1hRdNVtUWX5eaDWBykYBP6XknjM8DYe6rZYOZRg+WCCqbkqw2MlJqerzOYdCkUnnNobZDck0kbZgU8aHsFU7FRvNCxmg04LRMZ7TZ6GnUoP0XpF5ckaD91vOgbBod6G1SpRDUApISg8OaljVyn84/+xoarjOFQqFfL5/H+tR1V/n/NikevNimq5HhTN6kW2iBZyo3SLqh/Vg7aypSFqWshTZTazpZVdakZXj1Wdo+ii9IjS9VGwr1+XErJF71MdDyYlF6+rH6lpZWeUnGayo+ijbFV5RMlerKi66ecW49MKYz0u9Do676j4aVX3Ueq1ii2dZjEfLBazi8WyykOVp3S6i93FDd1B167pSTs413BnTukcQ6b6J/T3xASNKzGqLvo3E9VJWI3Ov6a+x1iTL8OP16rnGzoglT5CnlTsU0M61BH5Aw0VQr0TlBHYhbAK9BcRTVuEN/mJnDSqnaeCh1K36gomChYTRYvLs4mwTg0DAZ+tK5FCMF8ymC+b3F2wGrFT8aoZrKilx24gNzgXTPDVyWMDxmjvwkFZGowVYaxg8o1INk9lDTBF6SzDA6ZArMoztDqsKakP4NXLKsY1n2hxGdr+3S/65hvq4FW/ORP4Q115rBkR2KLx0DFRdSFMHmq/OhZ6CdnlP7aa6qG2VB3SuxltoLMSGzXZgvAKkKqoZmft/SkUf6ttM/gd2KMfQ2jgrL6HFbpBouZIn2/wXq2Q4ZsKqPZIIh8LDfHXnUA4F+ng6TcU9FXGwMfBcW2jIMV+9bMdejsMMA4UCW0yosab4gMV01BerVWmlmNdTXagV+09QaXUJrzUMTcUfio2gX5q/1HL7aLx3Un1JkEtBCKSTODj0LcK0R4rrcuvVF1GZ8qMzpS5dCuvtEklP+g3cGvtFwUDJa/ofUJt4qZgqU+41dzd8IRDgCmNMoMNm4JVeD0+1X6qlut93g3fxFTsDMmIwljxl9o+G+gUPAO5AuUGk5o7tLwhJuqVAAAgAElEQVQrdD56HDUWy7Kavi76iCUiqCKvNasXAWZDdo26pmZ1oV1rZbQWLA2ZS/3bij6Kh9p4m/GKwkFov9Wo1eVF8dV/y4j6Aa8ou3U+Ov46j2b0Db2AJlf/q9NF2aTqFNC2ijm9NPNlVHxF+a5Z7EXprPONom+lR6vzURmtIcNp53TZUZi3khmlQ9S1Vhjrfotqo1EYRrXvZm1WTcSysYqrJGV9kFobqCr8hMIzGPCqPEIdjwxP+tTEruoSdAJq0TtLXb9QR6qZHIJE6RRqdLKuOyiDOJ84sDt470ooDIONW0JuU3lHFN1l6g61obCJ8A8y2rVRMkI/HiG31sJP8bOhYBJ1x1fflVe/aaD+DWxtUEGLGR3j4DgqpYRuWCj89HoBxiH9tZhTN/oIxaZqMI34R63M186rMarQ1yaJRGAc1c4U/qH41jAObG2Q6ceyxJs8Jrs0fRX/RsUy2m/dH6oshWUdY9no/xrG/mOrrhOmVdtuoEtk+mwSc2oeCbVFzScSZcCoXAj81Exmg72iviGNOsBWr6v4GoFcra66i7A6ma3ZJ+u2BRuxSL1OYEaLvieqC1Nvgun26j/VNhowUCcB+s0LNR6Ck/pjtiGRgki5Acb66pkawyqBujNuUFwNc31VMNTmZPM4iMrbDXmACPt1ZoqtAmqTr4ZqIhrj0OpoQK/YrG7Y00z5IKYCXdW822CjxifUTlXbRRhjSb1CTY6o42xo/FRhrfJeKFc163+V+DDU46i+UO17RcS5VnLqxTRNLMv6Q1YctU4klEHCDUQoYHhXvUcVJd7nHEAo8SJ8Gu8TClJ69QTCp1H7NaHYKRDKXZsgZgJqKYWSr3S50v8nwmOmoG35dwyk/zx0o9yARmg3BKVGI1D7ZEFgT2BfIDfAQJVTb3dSBojQEAONNEEF4WMvFJpANx37ehutYy9r9oX9pdkTokGhCdpE43HdXzKEY71OlD2+lCBOQtjLFnJ0HzfDUechlFgK56Dm/hKL+Ksef2qc1HFsZU9j26m3LzWWouQIzceqPVE+lpo94hFo6rFUx17WeRC0L6+DCOcqvXdpdU0FNOCsXtYcG9DogwCp+Ny/i1vTzR8IB1lNAtK3Qz0OMMLHBEAYSh233qd4IhWMpI+z7/9aTgrk1GhUs+qffBBKZxmikSBdX5Jvh/SZhfSXvm+krOlWh8iXIwNM6pDquoWOFdyC/xpptHZB4IsAR+q6Cj/26imsToMILcoEGNXyiaqb1HAUyjHhHNSAvSJb+gyElPUNDP0YCLU/qfjYB07UnejRSKUt+ZPCGo0IdFNsVn3s26T3sxgi9KRbvU/0MfD1jOxDFH/UaISCI3W5nn8iaIQiJzBAxSCIx0CuirXajwpR+xZe8PGWWnsL2MZSHp/KQi1Po66QCUUx389S1gXWxlt6egkCQ1/RVwd6etoRANqGOejXqRsavGel795Y09mv5w8Og7ZeyxcBP+Hl97q/grgAYShjJ1lrdT6WEuHT1WhUCPwGV2srgc8N/LiXfgyLmkOkDGJYaceh/O/r6setFF5+RCjjKx/fUJzj9/lSIIWMGCf4PaD6WVc/t6vjE4L8puaCwM8SpKvjWOcLhNp1LYcKtV8NfFGvFHyiMNQGa5dFHUej3mhD+cNfyQzaukDWMKj1s36OrLUvP9l5IauMlZQwRAikv/u9CNqbTyf8HCJ9vrV2HfTZQsNRqDlH1nU1A1VELXbw/YH0rtfkuLKOkRHoVs9vjfe19LGgEm8IMEQde2XHYBnESRDD6lg90FVoPg5i2O+H6r1FXRNqfZqoY+/LDnCrtT9D9Vegm1/HEPU48f2HH6PSrfV6vi2yhn3N3touxH4DbNh1vu7/8IZKehIMF9M0Mf/qr/7qr1rWAv7x//v32A8OqlLRUgvhLFcv3WnJ2d0lfnigRKls8nBecHybzW9O5ulLw71pgw1DLn9ytMQza20ezBiYBvzsxRLvPVdkPm8ymzc4vtXml8cK9KQED2YNNgy6/OUrOXY94XBv0iBuCn7+YomzeyoUSgYzecFrOyv84qUCS1JwY9xk2wqH354ssHulzb0Zi/aE5KMXypx6usxC3mIyY/DGM2V+eaRAe1xyd8pk12qHj4+WeGqFw51Jk640/PJIgdd3lxmft8iVBWd3VfnJ4QJJ02BkzmD3Gps/O1lg0zKH62MmvW3w8dEip3dWmFwwKduCt/dU+PGLRQxpcG/a4Nm1Dv/gVI61vQ73Z0z62yV/crTEoS0VprMmhYrg3HNlPnyhAK7B8KzBgY02Hx8rsrZHcnfaZGmX5LfH87y4tcLDWZNSVfD+8xXO7S8hXMHDeYPDm21+dbTA6h6Xaw8t1vS7/Pp4gZeerDA8Y2EYkvf3VXjnQIly2fBotlT57csFhjpdbk9YrB9w+dXRIs+vtxmZNbEMeP9AkR8dKrKQM5nOGRzdavPxsQIDac9f6/pd/uJknqefsLk/ZSIE/PzFEm89U6ZQEszkDE7vsPnFkQLdKbg1YbJpqctfnMrz9Koq96ctkjHBLw6VOb27RKFkMpUVnHm6wkfHCnTEPZqdqxx+dazI7pUud6cMOlOSXx4ucOaZMlPzFnMFweu7K/z8cJHOuODejMHTqx1+e7zEluUOtyZMupKSj46WOLOrxOSCRdH2fPzjw0UsYTAya7BzjcNfns6xfsDh3pRFb7vkoyNFjm2rMJMxKVQF7z1b5ieHCyAN7k2ZPLfO5jcnC2zoc7k7bTC4RPLbY3le2FplYt4kVxZ8sL/EDw8UMRCMzhkcetLm4yNF1vRJbo6brOxx+ZOTBY5srjI8a+JKwbl9Fd7bX8KpGjycF7y4yeZPX86zvNvlxpjJE/0uHx0pcfhJh+E5r329/1yJcweLFEomY/OCl7bY/MmJPEPtknszJuv6Xf78eIln1lV5MONtHvKLF0u8u69Ivmwwna23yd403Js2WT/g8pen8+xZY3N/xiJmSn72QpnXdpcplQymcwand5X56EiBnjRcHbN4aqXL288UKVUNJjJmkzwSNaLTSifQLmrJGjSS4LwhGt6xMYTgmf4CP986z5NdJa7PJ1meqvLrHTMcW55nNGfhIHh3bYYfbprHtuFhIc6BoTx/tmualekqtxbirGy3+XjrDIeG8owVYkjg3Lp5Ptw8R74kGCtYvLgsx693zLA04fAgF2N1e4U/2z7L3sE8I7k4tiv4+eYZ3tmQoWILJooWx5fn+MW2WQYSDrczcdZ1lPmLXVM8O1DkfiaGJSQ/3jjH2bUZyrbBZDHGqVVZPt42Q0/c5uZCgm09ZT7eNsMzvSXuZWO0Wy4/fXKON9YvMFc0mS5ZnF6d4aNtc3TFXO5lYmzvKfObbbPs6C1yeyFO2pL8Yussbz6RYSpvkq+anFqZ5afbZkgJyUg2xrbuIn+xa4ZNXWXuZeJ0Wg6/3DrHyZVZ5ksm2arBm09k+NnWWRJCcjsTZ09fgT/dMcPmjir3szF6Eja/2TrH0VUZZgomcyWTH26Y54NNc8SFZDgXY99AkY+2zrKxo8ythQRDKZtfb5vmxKoso9kYVVfwzhML/HDTPDge9vsH8/zpU9Os6ahwfT7JinSFX22f4aWlBcZyXoyfW5vh/S1zlKuC0UKMQ0N5frtzmuVJh/vZGCvbqvzJtlmeX5pjNBOjKg1+smmOcxvnKVcNJooxXhzK89H2WYYSNveycda0V/jznVPsGywwnIkD8JMn5zm7NkvFNpgqWpxcmeWjbTMMJmyuzCbY2lXm10/N8Fy/56+UKfnJhnnOrp8nUzQYL8R4dXWWj5+aodtyuJuJsbWrzK+2zbK7v8TdTIw2S/LTLbO8tT7DdMEkUzV5eWWWn2+dod2QjORjbOkq8hc7ptnSU+b2Qpx2y+GjLbOcXp1jvmySLRu8sSbLT7fOkRAudxfi7Oot8mc7p9mypMyDbIzOuMvHm+c4tirDfNFkvmzxzrp5frrZ89f9bIx9AwU+3jrLk0vK3M3G6Uu5/HrbDC+vyTCajVF0DN5Zt8CPNs0TA0byMfYP5vnNUzOs7yxzdS7FsnSVj7fOcmJlgYc5L/e980SGH22axbFhtJRm32CJX2weYyhZZTgXY2na5sMNczw7WGCiaGE78Pa6Bd7esFDz177+PB9unmMo4TCcs1iervCLzXPsGSzwMBvDdgVnV8+zqr3Kw7xF1fHzjPr4uZ6uJN5MwSmDmfBGjdUSjF/RBm3UZ9lB4lIHbloO27gmxUdnh9izpZ27YyVSCYOPzg5x5mAP80WHTN7m1QM9/PzVIdJtJvfHymxdn+Yvf7CCLWvSPJgs0542+eUbyzj+bDeZgs18zuHNI7387PQQiaTgzkiJZ7Z38OuzS9m6to2740V6lsT4+PUhTu7rYWLe2xnz3WMDfPDyAImkYHiiwr6nOvjVG0vZuCrFjeEig71xfv3mUk48283DuQrVquStI/386OQAGILRqTLP7ejkz99ZzurlCW6NFFg+kOTjN5ZyeHcX43MVHFvy7vF+fvzyIFXXZXi8wqFdnfzmzWWsGEwwPFFm2UCcP31rKc8/1cnYTJVSxeWnrw3y3pF+bCkZn65w5JlufnlmiKUDcW6PlFizLMGfv72c55/q4MF0BSEkH7wyyJsv9lGVkomZCif2d/OrM0sZ6I1z/X6RTU+k+fj1IZ5/qoP7ExXSSYMPXhng7Zf6yBQdJmarvLy/m4/PLKOr0+L+ZJnNT6T5zZtL2b2pnbsPSyTjBj97dZC3DvczV7BZyNmc3N/Lz18boqPdZHiizOZ1bfzFO8vZti7N/fES6ZTJL18f4tTzPWSLDvN5m7Mv9vKz00tpaze5eb/Irk3t/Olby9m6NsX9yTJLOmN8fGaIE891M5e3mZ63+cHxAX78yiCppOD+WJm92zv46MwQm9emuT1Sor8nxsdnh3jluV4ezlUoVVzePNzHBy8PYlqC0akKzz7lydmwKsX1B0WGeuN8fHYpx/d6/rJdydtH+/nw5ACOgAcTZQ7s6OS3by1n1dI4DybKLB2I8ydvLmP/jg4m5qqUqi7vvzLA+ycGqeIyNlXh0K4uPn59KcsHE9wbK7FyaYLfvr2Mgzs6GZ6q4EiXD08P8vbhflxgfKbK0We7+OjMUpYPJbh6r8DG1Sl+/eYy9m/vYHiqQiwGH7w8wFsv9ZEvu4xNVzn5fDe/ObuMvp44d0aLbFqT5ldvLGXvlg7uT5ZJxAU/Pj3Iey/1M1Owmc86nHium1+cGaK7I8bwZIkn17TxD95Zzs6Nbdz2ffzLs0O8tr+HbNlhPmfz2qFefnZ6kI52i1sjRZ7a0Mafv+v7eLJMR5vJR2eWcuLZHjIFh9lMlTeP9PHzU0Ok0gZ3R0vs2drBx2eXsm1tG3fHSnQvifPR60O8eqCXsbkquYLDmRd62L2lnbGpCoWSMi9TP4ET3OQTetLyzsXWTvGPjpxsGGIZRn3m+Ud6VFVof+vXV/a6vLM3x7mT4zw55GCZ8NQqm/dfH+b49gzpOKzqdvngpQVO7V+gtw3aEnB03zwfvj7ChqU2cQv2rHZ479VxXthgk45JVvS4fPjyQ04emqa7DdqTkuN78vzkxCxbl7nELXjhyTw/PjPKsxu9j7uu6nF545VxPnh+hu42SVda8uGzZc6enGDtgINlSvZuLPPB68M8vylPzILNQw7vHZ3l5J4iHUlJb7vktYPTvPfaKCt7XBKWZO96m3OvjXNgrU3Cgo1DNj9/ZYTj+zKk45KedpeXD8zzq6OzrOlzSMckp7ZUeP/MGE+ttLFM2DDk8N6ZEV7bM0tnEvo6XM7tz/HaoTlWdLnELcmhHVk+PDvMjicqWAZsXebw9isTvLajQntSMtDp8qPDE7x+YpKhJT7NtiI/fWWG59Y4xEzYs7rEz06N8cLOInELhjolrx6Z5mdHxhlc4tKegDd3Vnnn9Biblnn+2rbK5oM3hjmyM0MqLlnR7fLmi/O8cSDLQIdLe1Ly8p55fvTGCBsCH690eO+1MU5tsUnHJSt6HH5xYoyXD87R4/v42N4sv3xljC3LqsQtOLLe5sevTrJvQ5WYJVnZ4/Dm6Ye8s3+anjaXJWmXN58p8caxadYPePbs3VTkg9eH2be5gGXC2j6X149O886zRbrSku42yTvPTfP2q2Os7nOxDNi7zubHZ8Y5+mSVhAWbl9r88uQ0x/dmaU9KlrRJTh6c5ecnR1nd6/nr2JM27702xq5VXjyuG3D40dkRTu6d8+KizeX0vhzvvjTPml6HZEzy0o4MH7wxzFOrq1imZONSh3dOj/HeLpuOlKS/w+XnL0xy5ug0y7tcYgYc2l7kp6dHeXZtkZgFz6x2+PErMxzeXiQZkwx0SF49NskPj40xtETSFpcc31rlnVfG2b7Cw3776gofvj7MC09nSViCZUskrx6a44NDOYY6JB1JeG33POdeH+XJIQfTgO0rHH54ZoxXtxVpS0hW9rj8+kiOVw7O0dfukorDS3sX+MmpUTYtrRK3JPvWOJw7PcFz622Sltcm33vlIa++OEVfu6Q9ITm2q8i54zNsWeYQMyXPbyjy4ZkR9m0uYhmSveuK/OXbY5zZXdbyScMt/Ca5x/+triz6d70bBnOhD5kHAz6BZUqOrsjz/q4FjqzOkTQd+lM2r+7O8MGueZa22bRZLgeXVXj74DxbuyvEhMuWnjLvvzDHSxtzpC3JUMrmte1ZXtuWZzBl0265HFuf49zhOTb1eG12W1eZ9w5mOLrcpj3msDxt87OdeU7tzNCftEmaLkc25PjJvgW29ZSJG5Kn+23e3Z9h/9IccVOyLG3z5v4F3tyZoS/p0G65HF1T4uyzGTZ2VrGEy55lBd5/cY7n1xSwDMnq9ipndmc4vaFMb8KmO+7wxsY8bx+cY22Hp9uegSIfHMpwZLlNIiZZ12Hzw6dLnNiUpSvu0hlzObEtx4f75nmio0rScnlmoMI7BzPs6SuTsCRrOqr86OAcJ7Zm6Yw5dCccXn4yx+s786zp8PLjC6sLvP/CHLsHC5hI1i+p8tb+eV5fa9MZd+hLOnyw2eHM3gVWtlWxTDiwKs+HB+bZO1gkZko2d1V585ksR57I0xZz6UvavPZMhveezbA0bZO2XA4sK/H2/gW291aImZItPWU+PDjPixtzJE2XwZTN6e0Z3tpWYsj318trCvzg0DxbukpYQrKlq8S5Q/O8vKZAe9xlKGXz1rYSp5/KMJjy/PXixhwfHphnS2+ZmCnZ3lvh7f0LHFhWIh1zWdpm896zGV57JkNfyqYtJjnyRJ4392TZ3FUlZrrsHSzywf55DqzKYZmwsr3Kmb0LfLDZoS9p0xlzeH2tzVv751m/pIppwO5BD8cXVhdIxGBNh83ru/K8/GSO7oRDZ9zhxNYsPzo4x5r2KglTsqevzDsHMzwzUCFpuTzRUeXDffOc2JalM+bSFXc5sSnLD58usq7DJmFJjiy3+eBQhj0DRSwD1nZUePvgHG9szNMdd+hN2JzeUObM7gyr26tYhuS51V787Vnq5eWNS6qc3Zvh6JoS7TGXvrjNmzsyvLF/nqVpm4Qp2b8szzvPZ3i63yZuSrb2lPnJvgVe2pAjZbn0p2xO7czws515lvn+Orrc4d2DC2zrKmMZkq2DBh+etHnhiTzpmGQg6XBiU5ETm/MMphxSluTA2jxvPbfAhu4ylnDZ1F3htX0LPDtUpS0uGUg5vL1tgeNPZelLOnTGbd5/aoEPdswzkLLruaP2qDf11UOoP7IpBOBCeRZcu0kaU3IStWU1j1fwyKKyscz+HZ28e6Cfk890syRt0ZEyOb63m3OH+1m7PEEybnBgbSfvnRhgz+p2YpZg1WCCd17p5+S+Lro6LLo6LV7e0c/rB/p5oj9N3BLse6qTc6cGeHpTO5Yl2DCQ4o2X+ji7vY8l7Ra9XRav7+vh7NE+VvQksEyD5zd18MPj/exd307cEmxZleLci/0c3dVNW9Kgr9Pi1KFe3j3cx7L+OOmkwQvre3j7xADbl7cTtww2rklx7pV+XtrbRVvKZGBJjNPP9vH2vkGW9yZIp0xe3NHJD04NsHVVGsuELcvSvHOyn+NbOmlvtxjqi/Pe832cOtDLYFeMRExweGcX5473s21dmlhMsHfNEn5wbIiDTy4hlTAZ7I1z9ngfr73QS3+3RXvK5KXNvbx5eIDNS9uwLMHOje2cOzXA/p2dWKbByp44rx3s5d3dvfR1WSzpsHh5Zxdvv9zP+qEklinY9UQ7517pZ//mDpJxwZqhBOcO9HHymW56Ojw5R/d1c+5EP2tXJEnGDPasWsI7xwfYu7qLZNxg1dIE753o58SBHpZ0WCxptzjxdA/nDi1lw9I0iZjgua3t/ODlfp7Z0IFpCtYOJHnzWB+v7eqhq9OiZ4nFG7t7eP3FPtb0JjBNwXNbOzh3sp89m9uJxQSbl7bx7gtDHNvWS3vapK8rxukXenn7WB/L++Mk4wbPr+3i3eMDPL2qk3hMsGlNmnPHPX+lYgZ9nTFOPdfDD57vY8VA3MNxSwfvvdzP9hVtWIbBk8vTvHuqnyM7ltDRZjLUE+MHewc4va+Xoa4YScvg0O4lnHu5n23r2rAsgy3L2nnr2ACHNvSQThkM9cV583Avrx7pZaAnRiphcnhrF+deGmDHqjZilmDXhnbOHevn0LZOYqZgeU+cM4f7eHtfL/09Fh3tFqe3dfP2sX42DqawTMGOdW384FQ/B3Z0kIwbrOxP8cbzg7yyu4/eDovOdotj+7p479QA61YkicUEu1Z08N6JAQ6v6yGVNFm9NMEPXurjxP4eutIW7WmT43u6OfdiPxuWJ0nEDfZvbOfciQGeWee1r9UDSd462c+pvd10d1h0d1i8tXOI11/oY01/Ess0eHZ7B+dODfDMtnYsy2D9QJqzL/Tz8rZ+Oto9H7+6v4c3TvSxoi9OOmXw7sE+fv3aUp5cla7njtpjHOqgKFiNluHxkDqsalL+gBXHZhNFvQhcCQ9mEtwcjnPxdoKxeQMJjEzF+eRymmtjMSq2YCZncvFmgt/djZErQ6Vi8v3dFJ9eTTGxYOI48GAyxvlrSW5OmFQdmM3GuHCljW/uxsmXBZWqwXf3Enx6Pc74gqDqCG6PJzh/NcWtcROJYD5jceF6ii/vJSiUBdmywe/uxPniRpLJjIGUgrsPE/z9lTS3J2PYDkzMW3xxM8G39y1KVUGhaPHt7TQXrqWYzXnfH7wzFufTq0nuTJnYDozPx/j0appL92OUbUGxZPK72wk+uZlgJmdQqgqujcY5fzXJgxkD1xVMzsX49Eobl4bjFKuCTNHgq9sJvrodZy5v4DiCG8MpPvk+xYMZC1fC2IzFZ9eSXHrorWRmChZf3mjjy5tJ5gsC1xFcHYnzybUE92cNbFcwPBXn02tJro5aOK4gmzP58maaz28lyZSgUBF8PxznwrUkY/Mm0oXRqTiffN/G1dEYVVswlzX58maSr+7GyJYEpbLJlXspPv0+xXjGxHVhdCrGJ1eTXB03PR9nY1y4nuabO3HyFUHVNvjubopPricZWzCoOHBrIsb5q0luTZg40mBuIcZn19J8fc/zcaEs+O5ejIs3E0wsmLiu4O5Ygk+/T3NrPIYrYXrB4vMbSb6+b1GoCvIli29up/jsWpLpnPcYwJ2xOH93NcXNCYOqIxibjXH+RpLv7scoVwWlosk3t1N8eiPFTM6gbAtuPvQwuTdj4rgwPRfj0+89f5UqgnzJ4Js7CS7eijOTN6jahu+vNA9mDKSEiVnPvm9HvBXh+YLJxZspvrqVYC7vPQ59dTjBJ1fT3J8xsR3B8LTFhesJroxa2I4gl7c8f91MkikKylXB9dEYF64lGZ0zcCWMTnmYXB3xYjiTN/nqVoKLt2NkilComHx/P8mFq6lamxydivF336e4Om5RtgXTWYPzNxL87m6cXElgVw0u30vyydUUYwve3fsHkxYXam1SMJ+1+PxKG7+7myDrt8nL92J8diPB2IKJHfjrSpo7kyZPrbTp7zL47k6Si3diETmm2WqjCP/ulNAWHGr1g2fQmjyqIRHkq4IbMwm+mUxxZTZJ1YV8yeSrhyk+f5hmoWJSceDmdJzPRtKMFuI4wFgmxqf32rgym6TiQKZs8rvxFF9PJFmomJRtg2uTCc4Pp3lY8OLzYSbG+eE0VxcSlB3BXMng84ceTbZqYDsG308m+XQkzWgxhuMKhhcsLoykuDGfwJZebvjsQZqvJlNkqyZVV3BlMs7nY2nGCxauK7g/F+fTB23cnEviArNFky8fpvhmOkneMchXDS5NJPlspI3JkoUrBffmY3wynOLGQpyqK5gqGFwcTfLtVIqia1CuCC6NJzn/MM10yaLqwv35GBdGUtzNxnFcwXTe5MKDNi5NJCk6BsWq4NJEki/GU0yXvJi+NRPnkwdp7mYTgGAq79n33UycomuQrcBX4wm+GEszU/I+yXNjJsEnI23cy8RxJIznLC6Oprk8m6DiGuTKBr8bTfH5WJr5itdWbs0m+GwkxXDew/FhNsb5B2muzCSxpU8znuKLiSQLVa9NXpuOc34kzWgujhSejz+538aVec9fmbLBV2NJvp5Mk6kaOLbgylSSTwMfu56PPx9Jc30hQcUVLBRNLo6k+Xo8TbZqUHUMrswk+PxhkrGChe0K7s/HOD/cxvW5JC5+bhhN8sVUglzVIG/D5ak4n4+0MVH0MLk/F+eT+23cmPdWq2cLJl889PxVqBqUqgaXxpJcGGljqmRhS3gwH+PCcJq72Ti2FEwXLC4Mp/luKkXRFpSqgm8nk3w2lmSq7Pn4xozFp8Nt3M3GkVIwk/dovplOULAN8lXBt5MJvhxLMV328vLt6QSfPAj8JZjMmnwxlubyTIKSIzzsH6a4ONrGfNnEduH2bIILI2nu5TxMHmY9XS9PJ6i6gnzZ5OuxJJ+Np5irWJQduDEb48JImpFCHIlgupji4gnkRpUAACAASURBVEgHV6cEFRdyFcGlqQSXphJkqia2Lbg5neCL0TTjRS/uJ3IxvnqY5NZCnKojWCgb/G4sxaXJJAg4tKzAcCbG52NpMlUznEfUx1aj8o6U4JS8v+PXws8oBjkuWHGsrQSI2qOJ9ffmvF3Gb42WuHQnz3e3CxRLLhVX8t2dPBcu55iaq1J14e5kifOXs9wdL+G4MJ+1uXApy3e3CuSLLqWqw3d3c3x5NcvUgo3jSu48LPHptxnujZZwgalMlc+vZvj2Tp5S2SVXcvn2dp6L3+eYzVaRSG49LHH+coa7Y2VsF8bnKnx2NcPlOwUqVUmh7PLNjTwXr2SZy9hUXZdbDwtcuJxheKqM48LEXJXzlzJcuVOkYrvkig7f3M7xxfUs87kqFVtyY6TI+e8yjExWcIGJuQrnL2e5cr9IqeyQKTl8dSPP19dyLBRcHCm5+qDA+e8yjE5VsaXL8HSZC1eyXHtQwHZcsgWXL6/m+OpqjkzeoeK6XBsu8Pn3WR5OV3ClZHiyzIVLWa4/KOFKyXzB5ssbeb68niNXcChWXb6/X+TCpQwTsx4mD6YqnP8uy63RElVbMpNzuHg9xzc38xRKLhXH5crdAucvZZmarVB1JcNTJS58n+HOWBHbgbmMzeffZ/n2RoFCyaFsu3x3L8eFKz6NhLtjZc5/l+H2aAmJYCZX5fMrWb69ladYcslXHL65m+eLqzlmFqpIAbdGS5z/LsPdhyUcKRmfr3DxWpZLd/KUKy75kss3N/N8fjnLfMahKiV3xotcuJzh/kQJ15VMzFW5cDnL97fzVG1JvuLwu5t5Pr+aZS5rU7YlN0dLnL+UYWSqggQm5iucv5Tl6r0CpYpkoWjz1a0cX1/PsZC3cVy4/qDA+e+yjEyUcZCMz5X57PsM14aLVKqSbMHmq2s5vvT9ZUvJ1QdFLnyfZcSPpZHpMhe+z3LtXhFHShbyDl/eyPHl9RzZvO+v4QKfX84yPlsFYHiqwqffZrjxoITtSmbzVb68keGbmzlyRZdyVXr++i7D5GwVB8nwdJlPL2e4OVqgWpXMZG0+v5rlmxsFimWHiuNy6W6BC99nmZytUnUldyZKnP8+y52HJVwJc9kqn1/O8u3NAoWSS75q8+29HF9czTE9X8UF7oyWOP9tljvDZVwk09kqX1zP8u1tr00Wyg7f3s7z+aUslark8M4lzOYczn+f4eFURRk+Kc9VB3lGHT/VnnyA2NoZ/tGRExFjLm/VUUr5uJ/j0FcE1MGdooRSTAMSlsQ0JMWKwHYFpiGxDHCkwHG8Z3ct/9tRVf/ummVIDAG2603MTMM757jg+M+fW6b3XLLteg9HW6Znu1dHYhmeLEcKbMe7QejReHw9OZ582/EmuZaBR+MKbBcMIbFMfDloNN55U6FxXDAMiek/u2w7HiQeDT4NNZq6fR4mbk2OJOavkNiuT2NKzBAmihz/PSbL9HxgOxJXelvSe5g00lSdwD7Pn7bjPR9uGVLBUdSxl/j+8uyBwF+iub9qPvawRwqPRqL4y8OuEXvVX4EcD/vAnjqNJzvsL6n4iwgf+7Hk61qnEU19bPs0huF9KNxV4iLmbwxb87EJpghoAp/XY8nzl6djoFujvzy5XixJH0fdXwEmgRzPH64ffzV/Bbr5NIaQEf7yMQliKWiTvr+MkD1C8bH37L/nY29HS/DaYN1f0se+bl93m0tXWrJQ9B5XDueT6MffI8sKCf3UHj8Nfx5BaiuO/rFZr5MUkpjhUnUFZcd7n9oypIKZl0sMfJwxMPFizfXziRBg+e8h2NK7QVFvFz5mfh1HiDrOwnv5seqvNljC9WLAETiGwBQSE3BdiS0FhiGw0GiCNusQbheIersQIKXElt4LQJb/TrENuK7AEl5ucKSXmwWev6Qfn0FeFng+F9IlLlziQiKEjY3EIGhLYLsGjhPz9DIEFWniIjDx5bgeTqYvtyZHeG3Ly31Bmw1yHzgBD3+Bxna8QXYMBXu8tmfg5zHf3Zbh44jhY+/72PXbkvD95bcDUwR52ZNdiwvZxMcITOnZ4xLgSI2m5i/Tey/SkXV7LB9728Hzsa9b1dVo8HSr+cv15Ri+jxUcLR+Dquu9X2MKD7eaj2txofSJph8Xrh/3Ck0tlgJ/uWrMCmwJLr5u+DStfOxfD3xsEMbE9N+tt/2dOGOqv3yc9bgI/FWtlBCVBQ97NB8jsRG4Dhimx8PFa3NevvR1cwWmcFmWrlJxDGaqlp/blNQUpKsg76jpSy3FLFz9zzTsKKs8Nu/R6blLEOyYmEh4r+XYrqRU8SagluXlK9sB6bqYhsA0vXxr294XQmKWh7HtBbHX9+L1Q67rYpmGR+NIbNvFNA1ME6Tr5XtciMU83WzHa0OWKertOIpGSmL+QMF2JdKVmKbANDwejuPR1HKo4yIQWBbgev2dxKcxDWxH4jiezy1T4LoaDV7bcaVnr2n4Ml0XMyaxYn7b9/uqmOW9C1atCC8mLQEYdd0sw2uTrsS2JYavK1L6nwmjhr1je32naXrYOj4Pr0/03l+0HXx/GRgCqrq/HInjSoRhKHnXl2Pi+9j7/qGHie+v2ljJi2/bH5BYloHw5XrtS2Ca+DQSU3g8pPQwwccE6cmVUno+NbzjWv9lClzA9jGIxRQagjGL72NX1mmkVMY9fizZnhzL9Pq1uo/9WPLtEQismD/usb0YsyyBMHzcfEwCOdWqF/eBnGo1iHvh95O+PabAEgJHuvUxjOVjYnuYWAYYpkG16uK6sh4XPg9Rw97TDTwfC4Fvn4+JKWptxTB8OUpbCXQLtS/TGz/bPo6m5fU5NR+bBsL3jyFgWV8CkEwv2BSKtZdDw4/HB7lJ/cyOkrSafY4jRP7H+Y5j87J1ucN7h/KYhst//38tYa6gTjYfYUD4WCWK56PK0SfCIuLa78NrsXo0qav3So8jv5kOj2pHlF7NaNTwacVb5/nH8FUr/KJkNuOj8/xjYNzseiv6ZvrqMRBVJ4q+lfxHjYGg/L4Yq7LCsSIE9LZLutMuCwXBZDZqj/9W8aRcX4n/HUetSnDXX/jX1B1F/Z8xU/KTJ2d5almRv77SzfmHaVx1BxYVTtAGfYTr6bAF16OasjpQrO+SEM0DbVAqUbZ9V3RajGez3+qxFj5CSgzpknArLDNm6eyawkrNsLQ4xspqhi1JmzUDX+O2FUJqi0qMkYd7uFNKcMtqZzS1lEq5j8JcHw+r3RTMBC4GrmGGZS+ma7O02OxcVHOIsjsKA73uYvKj0kkUbSt7dHpd52aTlWb1XFm/SdJKx9r5IJYepW4LTHSb9RKFXe1TA01s1+midFP1qxShutBY71FTCxATLivaq1RcwWQp5r/jqNXT23lUzBUX4Lu/AZHyRrXqN/miJo5Bu1euvXe8nwNPL+FvL87zb/9+lmpV+jJbtH8UXFV++sRVt1+/pubSgKfRpF5NFyVn1TYvFPXfAWC1x+mi6okwnnowCYEhXAwBabPK0JIcya4Cnb0FlseyPJt2SHRNkxjIYsTdOr0EJ5+g+LCLu9k2rrltTM53UFpIUZlNMVpJUXZMXMdAqoHSDOugTkM7ivBJLXZ0HjTaG9QL4Ra2v4adf8OjAWf9ZkRkiUhOIR7+6eBc8DfU9lV7/bqqv5rmCVG3syW/JnyjTKl9b1M2kanKJVqxmky1HSkMdJ9E4azbo7bFKB6RfFkEE++GxcqBBACTc1XytYljQBthVwS/1NFrFP5J64njY+yq2izLtq63dInk9QMzxBJV/qd/16lMHB+F1+PKjqrzqHLUqNSzv9DqRPGNqt+qPI5NzWQuRtfsXKvecjFavXfW6z5CT7yojMXK4+D8X4OnSqP7RmjX1aL7fDHs1HhsVqcV/R8Sh39orEVdD7ermCl54/kcb72Q5W/+Szf/9D+kmtBG6djEX65+SbuudrIAUmIhObiywKk9Gb6caOPCWLpeP3LAKsLnouqGaCIGZg18WmAY2KF/dyukm6jXi1q5iKLRB7haHcu1STt5tjvzrF/xBemBa+yI3WHZyps4gxOouxOWa6T+Of94gC8YAJ71B1bmTB+zD9ZzqbiaudxqJh9s47PSerLxDqoi7u2WKah/wD0Ki6hBQFSKVP2sYxCVjlzlehQvZHglW63b7FjlE4FxpD7NBu5RtOpmUEH90GCIxomlLlhdoVffiWmm8+Ok+KjjZuO9Zr5qdk6VqaZJ9XrMzymVhUfDOMLugZTNPzk2zsh0jH/2dR/D2Vhj/VapPjQoleDmwWjzljqhzityZUCE/u5e28E7L/UzPWfz78/P1Va+6jHSpK+o4SPqx1I918QQPUeF/KkYGZXLGvKPaNRDKr+FUi9Kfu2S8C9JYpZLZ6LE7p4ZejZNMNg7z/blk3SsmSXW4WWlxvRb31U22E16JXAIcG2D8mQ7ufu9fD3fzcxoL9euDXKv2E2xaOE4Zn0SGWVzy/4iUGQR3EIhoAS3kI14SKVOgE2tz4moj1Inik9tUqs1pqa+1HwXla8ENGyFXfut6h7Br0G2mt8Uuqj8FtxYrX3KQ9dJarSB7VHMZB2X0E3jJhjrONRyn3Jex1jP2+q5gIeOgVJ6umL8d3/6BI4t+Wd//ZDPr2Qb2IfaXajZR8VJ8/IYE8dHZRx28r1pg//tb/oxDEm21MzLzQavzXrXx+UTdV3nF8U/iq7BsxHHj1JaRXyruuqxrsOj2r4Yr8WuL8anWY/e7HozHRc7/4fwXIxPK56PU/TYeZzSKg4fVac/pF4r2qjR2qPQ1/EUwPLOMnuWLfBF+5KIeo9amugZNZjVi/Aenf6bWx3cmYtzeTzprTYCDXeRIwexzTpWjV6nbdbRhjoXzS51BVGtr+sXWiHwL9awkPWJREg/WasTdyr0VmZ42rnD0Z3/lu7VN+jqHUZ2ZEBIHEC6AipJRCmBqCShaoEUjV4wXEgWIVmGRAmnd5olfdMckBcQpTSl+V6OTq1l7su3+OuFtYwml1Gw0gSfAEBQn0QGd91rAwLdbsI7XdZwjvBD7a+GgTq4VesEd4rVgVrwLcXQSrB/LmryJX39gh3uVD2VDVBqddXVCbU0sznARF2JDuGg2ajGS0AbDJD0Ry5VfjV5ig2tJl81viLcXmqDKZVeqWeIyCcE6jHs19X9HvqOqAhPHnU9df+rA1dfXsyUbO0qY5Ygrn53RcdWLQ2xqbZjF+w8mG3UvkMQxHfDwC7s2//v8jw5aXP+u2ztUcE6Xy0XqXqpv4OPxgf8EYS++aKmdDXNNwyGF+tnlVgLfjfrXkPtRo0FDUf/IJ2qsqojz96lYzz5/HVWr5om0ZPHTNoEq2GuI5BlC7ts4ZQspGOE5fq/RczBTNpYSRsjbpNamiG5dIHj0sDJx5mZSTN+d4hLf7eei/MDTOY6KFe0obOemyV122ttTtRvzDw2xlFtDmrfAQqgqfEU/kqbEhO1TzREtN0gr6Lz9OlQ+AjlODQp03TUV1BDq6uBzRGNp+HmbwQu+qp2kDcC1WoPL0XoouqqmBKqg36OMEZq06vhF+QjHWMl9vXvq7pCyW1KPquRKedCeisy/NXXmClY15/AtiXpuOLvljeQFf6PUf5Ij6rq2YDasWlAMuadK1T878O0nHhEOC/yXCsdHkVHEfFXv6YW/fpiMpvRPyqdrtdiPKPq6Hb8Pjro5x9H78UwbGXfYnWb6fqoGEXVbxYTzWTqcqLsaSanWWmFvS7rUXTWffGYGaLpqHUxu6LkhvU0DcnmpS4bBm3uTJl8O6zfx2oVD1qdlQL6lKTa6g6aMkkKknbScrEElG3q7zDVREd0hlF3C5sMPMODI523ci1gZ2jydLkqbzV9Rw3m1WvBOf23KxFCknaKbHQfcih+led2/huMzV8SSxaRSIQTwyikKM8NkpsdwJkbxJ54kq+n1nHZjTNvdeAKbWAmIemWWOfmeKZ7hN7B65g9EyS7Jkj3jkN7FuIVpJBgx3DHl3L905P8u9mDfM9GsrF2HMNqxDNyFU7HCy1MpDLoUXhF0UbhFIWxoD4RVO121euqDMW/uu4Bbz1tRumky9Dt0fFqdU7V/7ExbtLOouS0sif4XYt9/1h9JzlqIttwE0TXQ/NftQh2plG3qEmvMvlusxwOLs2TLZt8O5skZ5th3Ju1e5Q6Av9R1X9LPSgEWP7kMRIrGtJ1Im4QM6FqS8pVSePNLf+4VVevPmKq1lH1j+qWo9pT6NivVGv/UXXUY1VnqE9uFD0VnA1T0pUs8kT/LK+uuc/qwzdoX7aAGXe88KmaOPk42clO5mbaKcy0URhewuzUCr4qQd60fFPqTAXQ7TpsT2foXzlNajBLW0+O3v4syb4cZtJBxGwEgmrJYuFWL3/3n3fwxdQQIxNdFB1vI7IwfppPVNzVYx2jZjmrVWlWR/r/BZMpQ2EeJVPNTxDuc9QJU8iWR+hnG26ARgRXrb1ocavbU1sJ9O1qBU2tiUXEoG6P7rvF8l6ITsFY0ESnoI7aRuTiGEfp2sC6rlMqafDC7iVIKfnmep6JmWq4XqBksxjz7Ukdv07hH/8PLYTyOBPH/4bWnoouK3pcDm2wMQX869/FyJchHETqcVSJyJ4tJxEtI2+ROmpdtbTKws0axePIeRRco/T/fe1dTDddL11mcK1Zvcf1ayt5regWk/motqv+fhSftRqttdKzGf+oXnuxeF0sDhbzwaPEZxSfVvH/OHxAIGlLQDouKVQFuVJwvVmMtZC9EuhfpBOudeZqIvc28nhxaZ7VHTafjqe4nknUPrAbGnyqg9fgXKuOUx/cq+boJbQSFHQq0BBqiw0s1JWaqM4uAtKEU2KXPc3unv/IKxsvYm/8Aqc9C46JOdeNPb6WG6PrmJ7dzq3ZJ/na7WE80U/VjNV1VnUMJu6hCZS3qU5PZY5t9gzbOu/R03OZ5YNXWLbqJk7vDDJRRlQSxO6s4e8uv8TXUwf5XG4iF2/3WKuYNGsywUGr1dko/PRBg7qaVRsUKzrotraamIbqNfdDnTAixhvskGFdaquwMnwHW1+xFBqPkP+i4k5G4K5UCE3wdJtRsFOwVH9LqA8uVQVDxobPN/gcQv5rwFU5Xy1AJRMhQ4mD4JR/2jAk3TEbRxpkbQPHCXRWZDbrDlWdg4mj6yh6CrDSYFhhbHSMfQHP7ehk6/J2Lt3L8eWNrKeLqkfI3oicJ5XfIgJuTZ5H6/8ONtOIGuDrCwJ6e2qmo4qTHnPK7/Zkmd19Uzy34wabnxqmfd0MwnJwyzEqcynm7/Vw7f4QU6M9jI8u51I5xlwxheMY2nuzOiaE2m8sZtOfLLCjfYH+VdMsXzbPE2vHWLJ8HqurhDAd7HycqUvL+eK79Vy8voJb891UqsoX7AOjahhH9JEtsQhoNRxqtKL5u6Vq0VemgnYYVbfmM41eXyWs5QwtPtWVNrVxqnEYwj8igUfmzqAvIfw+MCjnCMd0iDxCpwBDofBX6wo/1qMwVrEL3TzWfjebVgU+CPHQ4jDQr7Y6qfEL8ND0NwT0LPF2287mHSpV7TGWZhNmzU+pY1f/mO84RnRmiw5uYf2Ay8dnZ7DiDn97bRn5sqp5NE2jnEcpUvutR6HQ/kY4u+kEIqpHiNLrcfgJrU4Uz6jONLJ1EW1zK56tSiu9onDV7YmytZX8Zr7S9dYxayZTrR+VqKKuR+mm+69VXEXpqZZm9aKuRclrpnMUzyiMdX9F6dEqzhdrA7rMqHph3S1TcHxLlWObq/ynaxb/+ut4ExseJa4IJ3fQVlOCzrOxA7dMyRsbF3hpe578fxrgZiaO0+wubtD5yTp9uFNU9FVXTGqDfK0DaNaB6Dbqna5aLzQBEvXH+4JjFU71kT4J3eV5Dscu8uqu/5vuTZ9R7pkG13sXsfLtPv7m4dMMF3Zxye5nKtaDnbQIdTQh10gst8q63AMKZoqx1CC28AfEhvepmZlkL/9F9vL39no6Rp9lzcgU2659x3M9d1i19W9xVz6guukG+1eOsuPWFxy4cob/Y3o/15IrlH5OHbTodik4RDZ7Be/QLrsi1HmGMSfMpBneDTGgkir+1yfy4YreOf2R2/+ftTePsuM4D3t/1X232WcwGOz7QhAAQQBcQRLcSVGkTIlUtNmOLcmWLCXPi2zHz46Sl+Njx8lzEtsntuNNcSzZlhRSpkXLkqiFpMCdBFcQBEjs+zKDAWbf7r3d9f64XX2/qlt9Z6C8OgeYvl1V315ffbV0lWXuwp4MDFPeXT20mpOxW9kmHJrcchKPK2Nj4w1uU8BzD3SSg13526R0tckjYzfAc+1AwnJ1ZFK+pVanMmJvaZUyU0LGQE8+4vObxhiYCvjm8XYGZ3LZbs33ba7PjlLak22r+XbslUeH14Se91/bw0/et4i//s453joyQVSNHZhOUuIh7S6Vvd3bas+K+iqVI5zAAujIX9n2aZA18G3YrvNk04lFSxjGLG+d4s6rD7LzpnfpXHeBoLUK1YCJo70c2bOCPeeWcPzIfI6OdzJeKRDFCXOWjmo/lFL0dOZYvrjI2QszXEhXZWo4K5UcZyudnB3tIH9hCb1vl1nRO8zmFWfYccVpOjb2U+wbZ/ENJ3j/ugE2vrOUN165gh8eW8nQVEsiOm3LQ0xSWv5Byt7Sl1PetDlpR+mEhQPTSokAYglX1EWLyQDqOEzVhkGjhKFoGBCnfKhGOtNnQ5aq60jSavWnghUzaEyLO76nYaCX0OjGDuanb8tpyr9Dr9vXSfrktlTt+F/ZVzfQoewVaCm7lF/5HjtfHliUrP52dub51Q+soErM157v58CJqTofaR1JqyPTRoFkpssYOHqIzwgIZRqdUhw50kYurB0/7E+yrg+O7P1URllpaW6+Txg+muWzC9u88/1ulhpl0hxHVn2fAcnIIMPAmsouq1wW/c3ozaLDl7J07as7V/7cOrLcXPSWZYMufVl24Ss/i0P3pmZ2ntXOsmh167o4fHW0U68ZH1l0yzoSlp0fBnDVxlE+9NBFRv9xaTJwdG2wmf03o810LL4AUtU7Hmqx3snhAvsPw6XxnH+yMJ3lFJ1uw0ylR67S+Rta3O/cTDXz7ZErNkmDtSqRwHSDP28wb/MR6Ji100f4zWVfp33H0xT6+tGBhqEe9Nu38s13b+M5fS2ng/lUVJ64mPRkpkNMO0MJX7FjbD+fuf2PKA+u4y9O/AJvsNDmIwmsYxUwUuzibd3J/vJKnjw7xcaTN/O+BS+z/obvk1t2ipYtb7Jt9RHWvLOLv3rlM7zato0ZFdIYaIkHMxhoNrDS1E8adflQGe8MjFTPgu/0ezv5G9uU09VXoUNT3xokinI2g3bw5g4sZZLfPKYBCFjfyrhN3cKlbFiB897w6m4fNWMY3ze0vmTRr+xvM6226uAyKw1ysCt1bOrLNmDyYrIPzDHJ0X9HIeKhWy5y7HSRXWdKtYGjKRcDoSju2qZ2/qWgjY0k9lCdgLAVVK6xzady0JwdLrNv/xTnBypoK5h15NGQdAqjJislVh8EjlSHSR1LFo7NGRkrN8/xfZpkqyR1m7AGoQ5tScBfCKvcuvoED9y8jyXbT1HonoJYMXmug1PPreE7e9dz8FIfw9MtVKuBM34ybRYLV7Gg+NT7FvHhHb08994Q//5/nSJKJxBE41CKSjXkfKWF/ukSe8/38fR767jl5VGuv/YdFl9/nPy8SdbdcphlV55jy3Ob+dYLV/PacGdyIrfGHkw79oygy7f6aE2aCH0YX2TqyUvdDU4zINBuHSN/6n1NgBg8ivYqVSN1hMAhy7rwZfINlmVYIgevSvKlnfoCnutH5Wqk6xfkymvKg+wnZD+cvA9E2Rgs3lPWHRm79FnfEgs5mnYhB68Gd4rTyETgk23NcxJrW0vAA+/voVKNeHb/EAeOTwq+hDNSSd30+0rt11uT9GMOHH3J8mDp23fPBvz7b7SjgEsTWZ2Ia6VZHY77LgueNJKsctrJd3Fm4W/oAWahwVc2C69bthl/Lqxm/GQZRVbdLJwq47dbZzbZuviz8GWVaYZvNrhufjM9N8OdpVv5LkteWclxbt76Pp01Sz7bmott+uD4dJ4lq9nbZjWCl9/uJJxq5dWjIY08unT74TR0MG5wY1VLHKcYuFW04q/f6+Frh2IuzeSI08BHN9Z3B2VK0GaV1/VybmAnr0YAZ1AjOjEzsLE6FUcUbgck4UmeBY2luMx18Zt8evtXmHf9c1Aso8bbOHNkC0df+jhfK29noGUhkUp0IgdTkvcG+WhuXvA2XRveQfcO0jr0IIwtEAM07PKxRitFReXoz3VyIdzBWxc2seEb9/GRa/+eK7Y8R9w7SPuOH/GF+f3seulzPDpzIxd0FzoIJNq6GbjfDxo65YAxUH49agHMaibiXSPwumxwylvwpW4FfHC+YZlFxgpnMIe9JdgEJQZnLHiXgY925GJwaZJLDYVNCrGk8F1Z+FYE5WqSrO9OmKRybOIz0nICt3fFUTfilfI0tph1YE5ar67z0ZmQR57pYXA6ZKiSs+FJ2RqEclVVwrT4cWWooTpZ27aqPN96Jyvi//D0IE+8conR8ah2FYdroxYtMgk9u0GpqaLB3m7p6MhdlVaO7FNYulYvXX3x0OOFYdBoOnIV7t50gId+4nXa1lwkzGsmLrRx+LXVPPPiFbw5tJjhMXEKt7s6lvoDG20+VGxZV2Ld5hI61ymoqsu4zkMNiI4VU3GOE5e6OT3SydP9Pbzv1c1cc+9uFl95npaF41z5wddYuOwsxSd38MqJZZTLsj9z+XaSNQB3dKJoXH1q8CO6Xld5YFor9KR8pYXlINBqC8ZODDzdWDfFLZ7d0059TLurkA0TElKJHt6lqLRTz/u9oPnP1bGEnYHHGpS6OhU6cFmVW3eV8hBcB2HR75uYVjLf1JH0KcYnI772+ACR0py8OGPrMfVL0lY8PjdrMtJJlzlwlELztgDnvSYfQndb7XLqgTFFZNX1EekoSkmWKwAAIABJREFUpWmA7NLTjOm5wpntfTMYMt9RWgNM83cu8LNgu/m+5Ctr8GbRMBc4zeR1OTLz6dgn96yyWeWy8Gfp2oU9twbktz8fvrnQnFVmLvRmpWawm8luLuWb1fElOz/S8NzBkN3HQsoVl0Yf3Ga6w1kBUXURgd3ZpqBqz0pDez6muxAxWQ0Zr4ryDcG1h30XNpDpgK0BoGos61s10NQ7Y9/Mpizv6/hEQNEaT/Ph8HVuu/6v6N30FrpQZujUGva/cT/fPXkfR/KrmGkt1cq7AxTX9burOigevXQnYy9eYmp0McdHVtdWY+wijfUTXcUEDBe7eS3fzpn9v8RD57axaes/sXjDHsK17/G+0h/S+9oH+YvzH6W/sLDRXFz4cpsXDk4rUpX8OTxZgxC3kxWV3cGSS09mN6BtObrlfStYDXJ34FuuQdk2KsoHSlEMNYUCqKB2mfVMBcry0xhfly/hp9+POf5CBigunS79ppyLJ813ZJqu6HraWGZX6ylbEINHWVcLHlAMV0L+6r1uIhRT1ayTKpRXxv7Bo2oQSw2XhmgClNi2mgaKGjS0tgT0duaJqpqRsaiRZwtew8sEvc+J0ejDUjiuTxF8Ght2/U8qP0Q7d5Ujcdf/rGqf5O7NB7nlgTdoXz4MGobeXsz3XtnMs2+uY3CmhWolsNuPkjgdGoUvny7HfP3JQc5eLPPW4Uli7dLksRNh51EUcP5SB49MlHj7G7dx/ZYj3HrnftqXDtNz3Vk+1fksbU/ewLN7VzNZyduwZZu05OuTlxPzWSfv4ui3kU8LjndSRPDbMOEq3ht9a2zYLn7fpKl3AJThjzx6C0IoFXLkcwEKiGIol6vMVGLHxzkONv0O19MGJP+WnAUIj9008JjC8MCzTMjTfiTNDTJm7jKW74GxiZi/+v5ZtIap6ahRrz4+GvLnli5z4Kgyni0PbZXZtDTiix8fIF+o8uk/XMr5UeWUkTB8z76yvrqz0ebCmQtcpyE1xevD78Ptls+SnQ9HM1qa8eeLXCAbb2YUM4dysyVXFlmRiUu7curMVs5Hn0v7XOTq1pF4Jf1ZenXpdflVnt++Z199nz6y7M1Xzk1Z9Pnq+OhzYbk47bxAadYtiFm/KOJof8hbp3LMTcYeWrWuH3UuUcqA3rciCeQDzeevvsidGyb4z88u4J8OdxDLQZ3lmpKOYbZB4uQQFDogFC7WNxh1n2Vnn9UZuw5exgGu/ASMtsoYv97yPbbc+RVyS48QhzETJ9bx90/+Oq9XbmSspZWYgDQQNCtWhgZ3IGnkr0jLnWxdyt8c+xxaBZTDfH0VFQFDDuqlCSW0RkGOM8XF/M+xD7Lu5c386uif0bPjaaJlJ9ne/rf82msX+JN3f57TbStsGiR8JGyPv8gy3wa33MQvWG5VyFvKTsrLXd0zNi23yjVsQW2UcUNKZ9qxdSb4CpSiraBZ2qVZ3xuxqkczv13TWYxpzSmCQFOJFONluDSlOD+mOHox5NBFxcVJRSVSYreTkImUsXJ5NQGQR87u76wuSubLdiFhKqF/n4yt4FDkK5LBo/YcmEPKT0uo2bloktFyyFsXk1NVJYzUlk079tDvHZAZ2qXt6PpVHeaeR1Qqn4/fPp+H75nP1394gS/9Yz8z1bhuO+kfA8+Rn7UKZRFHGsyacoYebx0jQ12n3x20GN4MTykPUv6qDiOBu3zeKJ/e8Trr7zpAoXecuBLy3gtX8M9PXsOeC/MpV3JouaJlrao4f10/qRSVqubpt0Z4/p1RqhUtPgeXfDoOQWOvYCmYKed5e3ABh5/r5tjwfP7lfS/Suf4iXVcO8LG2F5iXm+Lbb2xitFqwZaw13m8Ds/Ti6sBNmUG/rx8RenO3Lro+0mprqnEFT07AyYFO5sRmoy5SZpUiANrb8ixf0MaGFZ0sW9jGgp4SXa05SsUcKoBKJWZiusrQWJlzg5McPj3O0dNjXBidoVyO0E0dSFYSdXxV3clZd0K2gUclDu1xZJzCFHhdGfvkpGeRcVKuVFDcsq0TrTVvvJecqqodHVs2JNqRz1c2Sf8HK44OARl5pbymu6dCrlgl9E7WiQ7UO7CZDf9s7yRtboTQrJdq9s6F7dLs6xGzYPhw+Mq75Xx4XLhZuH1l3fe+8s1ozYKhMsrOBb6xi6wyWXTMpmdXLlk8yOTTVxZ8H5658u62BymDZvRl4XeTK8/Z6MqyZRfeXMra+PMhfPi2If7Vwxf4yj+s4K1H2jLqz7Gtug4+Raft6tYVCrWrKDpbInp6qpTykdhhov0m7LImywFMXYK4DNMVKM2DXK5e2TebKA+zkbOSWtAqB2+WSDydknPKpdIxi+PzfHbJ19l2+yPozhGYKTK2bxu//+L/zYHgSqJ8rt5BSd4aZrAFbk09oDCrhloxHZawA1U3WMQ+9RXqPCYdmAbK+RL79SZ+Y99/4r8M/yntO79FoWeY9bf9I7/WOsTf7vkc7+SvoIr4LswNXs23cLHDmxscpzoRz5JHGTRIe5C25pqscuDHTjm5bTZOkKXPygNT4JY2564UKUWgoBhoulo0Vy2KuGMt3Li8ytp5mvZSQLEQEloDjNrBIRrQKqAaxUzNlBkY0+w5F/LyyYBnjoWcG1WMlRVRrNGxoEtuBU7biCeIlG1PfutrglojV/cuSlnfdY3SPl27kndtxto+EMcMQHLiwByZ4pqMF7RU+L2HznPkVIF/+9QiDo2Ftp59tiwDfplS3SnSFZHULg3QGKrjtas6SCbTkiC0szXH/N4CbS1yRdJp/yltnn7O51KVEKYS7UTKVoP13Zm0QzdZ5ZR9OIv0WWLlKwg1a5dd5Jfue57FNxwnzEVUxou88tRmHnnqWs6NdxDrZFJLCtUE3O7df66MDRNaUa3EVMVNBfWk6rzrevmGgV4yMIhjxXi5wDN71jJ6roNPPvgyC647Ts+KSzz4ky+wrXuaP3l5M6fH2mqDXUmg9EVZMpZ/5SmrcnXO8GmApXYkbMuqi7BLxx4A6w7H1J51sr0Z7C3WWlQWeOQVIObajpTv2t9AQamYo7u9wNYr5nHHtsVcf1Uv65Z20tqSp5ALCYIAhU6w1OhSQe1b1ko1YmqmwsWhKd45PsILe/p57q1+TvdPMjpZoVqNkwkGQ7vG2rXj3k1p2YuRnSK9C1ML/tM6jpyMPC2xKNFHIupqu24qY+GTrckKQ7OQZ0ofEENPZ47f/fxKqmXNF//4OP2Dw/X68hRWYT4pXXLVcw7px1hx1M5v99luZHtPh/zbLy0mQHEx8xtHWc9HudNwvTT5aDF1fTQ6Rt8A04dXZzw3o8sHV8J2W64vz8XZTBZu/SzZ+ehPe4MmeebZR68vZdHcTMZey8avS/e9i68ZbS6crPqzwfXJ2Yc3y8bd+lm4fHJxZeLS5aMniy4Xho8miculNcvO/LqKNZy9UGTPvk5OXgzx85jFG9llfeYi6zsf0pcj+PPX5/MP+7t5b6hQW200ddMgUIJSDkjTmeraoFFXknoRzAyBmgdK9ALyugy387JULvINvd6to7pOgzXDXKu7MLrA51Z9ia07H0e3TRIM9XF29wf4sxMf5d3c2rqYlOk4PXqUwam8qsR0wArRsQna3VXLNID14EgH0JqeQsw1fVOMV0P2DHbya8e/wINDa3n/rV+hbckJ1ux4kp/LT/HlV3+ZPYVNREGyCmQNRqgHWTqRu2tDMhCTgYB1OqnIVzScTGvZgzuIMKislVAjA2wYSQDQUEcOEhtkbJcNFLTnNRsWxNy2Oubu9Zqti2N62wK0VkRRjNZVdLUirpjUKEcfOaXoKEBXX8CVi+DhLVVODcc8f1zx5KGAV08HnB1VVCJqoZ0Wena3iLmDKDnAMjowDLoDTDOINjpN3yHKJ9XlIErqxJKxtusZmnOlWrkZEWwlNM7EAftOljh1Kc90HAp42N+QpnRg86oEzSr5T4EVhJo8Q58CosnayiNB+h3aV3dd4Jn9o5w4O00lEkjdQzss5t1n6XMSOlJ34bSRlCZouBPP5CkHT9oVKLGVGdsOxO6QIIjZuOwCn3n4GZZtP4mOAiZPdfPsM1t49KWtDI+XEtyGfEGvmWAIhAwMb0bGcuDScFqlsId0siKp414xYckYlNK0F8tsXTRA+4JxDr25jlwV5l17kmLPFGv+xcv8YnGM//nMzRwZa5XuTcjKsXvEX4PI0Cblbj0IGs2hR1rQbB2yInyJNXnm6E8OpOQpvBYsx4ebn/JgJaO3hJ4wUHS1F9i0upvbti/kzuuWsGVtD90dReI4Jkrul9G6SlSt+yVza6BK7lgOFXS0hHS2drB+ZQ8fuHk5py9MsPudQX64+wwv7b3A6YEJKtW4PhY3vEuZmPaS2qjgRbbVVJa2amrEiTIo0jszM++5lH2E0FNqfyJfTgq6C29m0EiNt0olZt+RKaJqzMhUZOOQg00vSdJ3+wrY6TLucfxikxLSa2IhLoSa1qJGoRiZqs1Iz558jk/imY2OucB3G91ckkvX5dS9nDQXuJdLt9txeJyOt1XMFe9c67t1mAV/M3g/rr5h7jiy6lwuzrnask8Orpx8tDSTn1v+x+HnctPsbUwpmN8eM69NMzwJ/aNhRv054FimYaGyReRuM1GinjgiXVG75LsYasYrATORqgc4ltgSR+0O3kxEMH0J4oqNW5N8rGEGjx7H3RB8NWNZO6dW0hhoGLo0tFYm+I3uR7nm/j8j7hpBX+zjpR98lidGPsD+3DziILSDVdlxyeDdGhzhUY3gt1mS+pG8W6s18Im1w/ybWweZmMnxuSeW8N5wgY7yGHe07uKTO/6aYP0BVBRy/IX7+KO3f5lTrSvQ1qBZ4pPBYQaNhm85MHF59/Hg3tWZ8mQKOnyaum6gqBEBHRlydPVkp5acZv18zfuuiHlwE1zZV6W9EKO1Jo7jhvJywKiUSoOzNEgT74IgQClFTMDARMhLJxSP7Q14+aTiwkRQO5kyS8bpgE88p4Flht1LWzTl3PaM/O3IXOrdZtrWg5sqUw2nreYDzYq2MmWt6J/KU44a29msOLSG6dHaPY7EDi9Sr9JvFJMBbZIfQ1tbQKkYMDUdMzUTiwU44f8bZESjrBtkKUQl4WmoD9pUI63us2XDIt/o0bFfpTQrukf5+ftfZPOd70EYM3awjx89vZV/encDw2PFOnFuFybV26Bv4RulTF1zSy+yd/iTye2GqbWbvtIk99+0jztu2k9r3wTVmZDpsx3E5Rztay9SnD9BebiVFx7bwdde28ilqVLNR6XiNf1Q8qJh54NQjEorOeGAlDFCd4J31y4sHAK3a5M++3Tk0Fi+bqtyglYpaC3m2LCiiwdvXc77b1rG2mXttJVyln/yDUeC5CA0rbV3kqvGarJjQsPF0Qov7x3gsV3HeHHPAOcuThObHR31Co0+JBWxoxcjbNfH+9qBlQ/WS9m+8Tx7ZWyDSDPlJEbCRz6nWLGkhNaa/osVJiYSn2+drC0ApyvRCaBERC33vcfk7/2hi9RK/z+eqmpZM4bb9QtjPrFjhjDQ/NcnWhmamAssKb2MjsWb59Zzy2TVySqfRddcaGlGh1vGpWO2NNdyWWUlrqwedDY8bp4rZ4lH5mfVm40fT0OclUaJo6GXaYLbxTVXWWfR5NPtbPLAeefK1PUsWbz5YF6u7WTJ3lfOlVlWG6z9DRSEAZ7OYC40ejo+EyApkZ81K57k5wLNT60b4er50/zvQ128ONBGbFbS5HeTSjVuWzTsTIlBI7IOoKPaoLLYY3/z6NLmO4xGdtIo0eEJPG6wnsApxGV+Xu1n673/i6hrhGColx9+6/N8feYhhvPt6DQIcWQt+bW2TTp6tuSaQXfm1kTEkecCZ5LVVYhY1B5zMdDp+Tpj+Xa+X76P8rMtfE79Maw7xKqbfsi/Hl7AH579NAPFvsZgQAarWTaZsiBoMbbkS/K9PDHWnSGWyR1cSrnJFVw3cJ2DjAOl6WvV3Lch5qe2RWxfpmjNVUHHVKtx46y9GBACTFVDpuOQjlyVXBCn+bKMCeyUilnYGvHQphw3LI/53nuK/70nZM/ZgMkq2bwbtlI7bdbvyCzlnBosAywpD9nePHiljCV87bw3p60621ZDpVFaNdYz7cA9mEviUNT1r2RdUcgVR1iCQHwfh4YAHrx1HjvXd/PUW8N8+5XB2smqSrQj6ZtkO1DYtuTtikS9lG63rah692OtVFLnTyaJVxkCFWb1p6tY4TPXHGbjbQehEDFxpJfvP34j/3x8DeMzeeorZMK3+2iLnTyjF0OzkUVMfUUIxKqNIy85oWX1KbVixUKVO7cf5p773qR90SgaTUEpSn3jXHpzKed3rWPhHYcp9U1w3X2vc246x3f3XsnktDgwJyXD8auGXndwIHWDfNR1fchVqFQHus6T1IsE4vZn7kBS2oiUleXzkjwpY6UIlGJpXysf2LmMj929hqvXz6OYq+GNosjyM8b3pD4LGJuqMj0T09mao5C3fZmpE8d1vzWvI+SBW5Zx/eY+nnrtDH/73cO8eeASk1OVpM8T9h1LX4s4Ydb1yaLPs+Qq+xShE1dXRkey//ZNSFq6xLY/a3JMNrqaDrRShEqhqQ3UG2zbpS0FY3UmDt3+lHVEWJPkA6rEP5uQhV0x9992iQ/cfYHW/GwEGQVJuC4e+axprCPzmtX3JSk07Tz7aPV06A3lpVOQ77JkMZf3Pj5cmL7fPtpcmFKuylOuGU5TP+0hHVpdWfjkJnE2k7HElaUfX2qmM588smzMV8eHN+u30/Azbdilxzy7cs6qO5ttNqPNxT2bTGdLtj3kQ3j4xin+9BeG+MSN5SZ15iJnXzVtBwC+aloTKs2NSyd58OYxVvZWUMapKiUcqagvO1at7UGjeec+x9XattWomvwWhKQDKfEseYAa0ga1OJ2egRUoclGFHfHrbHvff0T3DhCMdDH0zMd5cWwn05hVRgdgLGDITkY2GcsMM9peJN6FnvpZgyuRHj/Wya9/ZwFf/OF8jo/nUnxlVWBXvJOvP/dppk+sQednuPL2x/j8/O/QF43X4adySfiU3xdm2asUiSkSeGzfdWkGjwwypA24ONz3Uh5eGXtSwk8p1GxbHPMbd0T8zvsibl0d0RKWiaNqw+y8mZU3zwBBmOO104o/2KU4NVwP3GSS9aA2iNRxhSXtFX72uoj/8kDEx7dWWNQe1cTVuLhp859lT81knAZPqlG2PlvWNH5vmSVL5eg43wKFrhTvglKF37ntAr+89SILWyuCdiV8QRN+zUqrZE5OBjRMaiWDRum3EmFtXdnOw/fNZ8uVbbWVGN+EWzoASPJikac16b10DWJT9TzL32TYsvsNVgPvBofHT6FozVe4f+NBNnz4BYKWKjMD7ez67jV880QyaEzpc+JLAcOixfyU396mFSQNhq7kvW9iRvLlkfGCoMrNKwZo6Z1IRJW0q5ymdckor59ewIvfv5ryaJGOZSM8eP/r7Nxwklxe7N1VroxdfTskGVkoIZP0ChGF/a2qsIFYvDNlpQwlDZYMVd2vQZ22hpBCxGoyxNOaUj7kxk29/PZnt/Effm4bN27upRDauyB8ux7qoBXPvdnPf/vqXs4MTDSUkX7J2jGhIxZ05/nEvWv4g1+6gZ+9fy3LF7XXz1mRvCiH95QH08cLG9CODGU700LG1sSjtD9dxxXX5dRggw3XiWhHdw6xGno7c/zHT67hdz61mk1r2qjbgagrabWUZWBLurPTj7HimNXhO40zeT55MeDRJ+aTD2BsxpTLgpPR0L04fHDcXmkudLp45btmvYEUuJtcGvyy8ZfPgt0srxlM3+8serJ0o2bJk8mngyyd+Phx8dgdpz81eFca5eUmF4+LTzSmBnolXh9sn2xdPpv9lrh9um5mTy7drmznYlM+fWXJXuL1vcuWl1KarvYqyxZO09nait/GmrUzh7aGGTz3N/VgwcBUtYM+vne0k+OXWnn3fDENAqxBoo8FpWBysDZotMo4z8Zxx1WYHoKWZNuqSgCmMJWHTVX/466auPjMtiAds0m/y8eu/xLzlh9CzxQYeutGDp5ezgNLv8mm4XX8U+UuJvLtDi7R+WM6m+Sv6SAbmpfyq9n8Ti+vFrw4wYWPp/6pHI8c667zZehQUA6LPD1zB6temuLm9j9H9w1w3Y5vctcPV/KYvp2qWaOU8nWD3yaDbjsYqMsVdF1POHVkclc+JB4rEDPlhQDdFQ8LrqgDFEO4fU3Mp2+IuWNNTHu+mnzDqBtm7msgPd8MqYBTw7DraMhHrqomcY8dnPnqQW0AmQtg2xL4tdsUi7sCHnkr5thFVbsL1eu6HF5d2acDfNEWLL0IGaRyz9Cl+S1n6qU7kQfluPTkW2rP5RGCUDO/u8pERZGT38tZ+ARM6/tYAduiRxAiA8ygBGER73eiwHP7RoinA17dP0ZU9fhc4+PSQaeqvzMNMy2TVNCCDkuk2m4LEof77OpGUedBgf2toaaUq3L7hqPc+/Ar5NrKVEZK7N61mSdOrGZtbpKgXXE8LjI2UagD93VLbjtRznt3sNtwqbojI5dXWV3gD8MKxeI4Spl2VIOjgCAfMRS18Nwrq1k7b5xld71L+5qLfOT21xgdaOeV8wvR6WqikHEDrR7Z6roMMyfupP9O9UwdTwpL8iTwK/e9A8+duEnJkDgVbaWQe65fyi88dAU3Xb2QQg7xDaPtX1KWG/xMwOmBSXbvG+Sn7l2dlnG31cv6ZreE1poggE1ruvnlj29i+aJ2/v67RzhwcpgoErRbg0bZFnQ93xRWMt/wLnTitherPdRlY8tZ+Py6UBrtWvZd0r6TvCCEvr481UhTDFUjDMlf2iYT4Bn9cFa6jIGjrwW5793yiuMXQ/78mdrpSOMzcs+J44AzBwgN3qwJDQ29lAeH71nCzPAUDeVkefnXl5opIwt2s+TD1wy/r66bvL28hybZYnz13d7Dhwcn3/3rlmluY3bKspHZdJ0FY7b3l6ODZnY01zqz2Zub10wGs+Gea5orLfa7SgRPvNrOsVMtHOgPMmC4NGbZXwbq9LenY05SVQd851Q7PzitmYqC2vcQykO7hKl1/ZvGZoPGhr/JttXSPNDuJYdNknuYjqQp/c6uhmd+9SK/eMWX6dv0GoQxUwev4utvf5ibV7zBtjseZenBq3nppWs4JgeOspOxLn33dYL1jtPqbw09pmN166Uwk6KxRputQW4n59v6Z0AEikuFbv5x5B427z5M993/QHX5Ae6/5X/wzlML2Fe6ysalU8Kcw1UEzRp7cOLS7aHDloVqvAbDre/K2JWnrCODCzdPQxAo3reuym/cGXPVooi8ioiimPq3PvXAKmsVEQHWxINyi6pvi6v7uza7X2Vld8Bnb1QsaIf//lzA8UuQTsBIHlwZW/KhuYxNIXfgbcEQAVDahBUN/kDi8nUFmvSex4uTl/iDXX2MlgMuTHpCJhM0o+wTVQ3sBhfs8826NmjMFT159fSj10d4Ye8oMzMxkfxu1fBjDcwRsnbgmVMyZZKrMancMmIFS1ca+9AN6RyMPEhlHASaa1ae58F736J72QhxOeStl9fyrVc3cVf3CNff9RpBqHl39yr+/sAmxtLvHBO8ZkumRZLAKflVCpXg16Y+soyAI+WVkq/r6hUB/nAlz+HBbubNhAT5WPgaxdRgNxMDfZwa7+Cxl6/mk73D9Fxzht6t57j/whucePw2zk21NXZlFjmOjKVeTWE5+Lf40B6YUlfmvXhOB30Cv+sIGwa2prx4n5Qp5UM+fOcqfvGjm7hyZSeKmDjO9iXm2d0hIec7rK7Y49PcvPoWVs3SvhZ+9v519HWX+KOvvcN7J0bFHZ6m3TQ4/OSPFmUQ7+xidX2JvtqaqBb5JG3LOljHSVanqsWj0Ido88NjEf/1a6eItebg6al6WSv2cdqp6wfnmC5jq2qGs/NpVZRb3BXz4LYZPrR9mtaCFITPo/o8uIvP95xV163vvvf18M2k1wz+5dbzRAPW36zoJSvNpvVmPPqiJder4fntw5+lo9nK+vKzfkv6fPia2ZBbf7bkOhRfhGH+zUVns8mnWVQF2VFOFuzLsZ8s2mZ79tkTs+bFMRwaCPjB/hyH+kOH5ixeZtGZ6QzTbZcSVFI3tuGESnPLggk+vnaENR0zVufVANc8T12EqOw4ZU8dgTYlSEcwc8m/bVWm1K0lzl9hXSOS8pcGxppCXOZf5V+n77pn0aVpJs+u4M92/TKvhVuJ8jFxcQZy1VpFH3xjBnJrp6QvKRMAa9rLfPbKSzy8aoyOXNToCl03n+BqrU5zz+SL/Gr0bVZVzyRlPHzh1Dcp1mgUR/N9/M6Jn2Xs9ZtQUUjXhnf41W1/RVdlvA7LNRkriBLvTNnUfiTPql7OXOsh5SHLyRl+WcYnY/nPTQ3uuF4on4P7r4j43Qc01yyNyFG1vvGpk2NvTXVXH32BlynntgHfgNLKjyN6SxV+envEF++KWN4V18WQbhmdRcYmgHJXNSx0yjmhVMrLyFjVZWxgmGePLdtux4Gdb2E618MLAy28NVRiUjshk2sLxpYtf9EgrsZ6YUvtIBzpuzxp+5VtfPTu+Vy9vj09NKTu16jbqtkG53O/PviujFM4bltJgCqDI/ntXjlgfmiNexrp4tI0H7v6GH0bzkMQc+T1VTzy7ZuYJsftH3qOFTuOsOyGY1z/4FusCMcc/Ap71cfAdmkCRcyynlE+c9UB/uNNu3nf+jMUi3G9nKxnZJM897XM8C83vMdPbXmXrtYZW65KMVIt8vqe9Zzfs4LqVG0yQUeKqcEWXtu9hldH2okjxSvnFvCN56/l0pE+CGOuvPUI9+7cRzFMTr1E1eVjkMuBu04IkwMSawLR1FHC/wjDNlc8mG/2jf9L+w1Vf5cKQfiqhjZl69JqP4mMWks5Pn7vKv7tJ7eyaVUHirjBL0lf4vqcrANwZDJlsvyVu/1VxzFdbSHUFKNDAAAgAElEQVQfvmMVv/WprWxe00Uo+9KURyHnhrjOyE6nvKYy1iIPWVXYa6orBFyBQ0mhikclYEnBO7TOzMS8sHeYF98Z4dJIxW4fKTzhX11byghDfOnHuI7DYHB7dF8PrVi3MOK3PnaeQqHC0++uZXymmUH4PK2ikaOsANLjARpg++h3e2kXp8KG6dLj4nXr+vJdmD5aXBln4ffBdeu4unH5cvlznZPHWWXovLkcJa7mzqE5nT79NrNHX1lfmSz54bzPsgGXXpcPnz7dell0zVbOZwOXI+NmtDWzR5nv0uHLq73Lh4r7t05yz9VT7NrbwaO7zbYkH31ZbTrB5XRefhJFh6B1uvqRC+AnNw7zoa3j/OoTizg4WqzfUefb7jF9CXS1np91UqdJvkFInFzVURJXdVjbT1QjT9ZqgtPpRbX7KG+I9rFh519DxxjBSCff/NHneDV3AxrFntN3UXlzlP4TW7lQ6K7Dl3fwmaBQDoJc/mNNMaf50KoxfmnnRS6NFTn2vRxvDpbq9Em5ObK5luN8+pa/oH31Adqe+zS/e+HzwmTVHFytSlSuOFZYwR/v/wV+uW+QtvXv0LnxNX7i0LM8WrmHiso3wkhZkTKWgQKCfwRdSRn38IB0a5Po/LXIM79dGRs89lKteC/4T3VQazP3rq3yxbtj1vZExGbyARpWGeW77JMI62oKwwCl7CBPlnVPNWw4lTWOKQUVPrylwGQ54vd3Kc6OB9Su6pCMJQjddmOdUOuRsUnWtlUhYyl715bd4Cx1oU77TttnvS32deT5ze3THOuf4pGDXQzIA07kYT/y6gmUvW01HTQLEZi/Znuq1WZcemu0/MT18/jkTyzkL/7pPHsOTRDNCEDpmNbgVfZWcenCG1awpCwEgYYXwL6OQNFw3YDB1cBDHXEYxtx6xREW7HiXsFRl/Ew33/vWDo6Pd7GkNEq+bQYV1ogNS1VCeUehXGnU2LgN7ekOBmhvq/Az2/ay7aE3CQoRiw/O59w37mLv6cW2DNKuqe4PHl52hjs+/Sy6otj3N528dWSpJeM4Vjzfv4iBR+7i1nN76Vpxiep0gXOvL+OfD69nIjnYp1IJee7ASha2zHB/33OUese5+7r3ePvdFew5szgxV8eHSF1ZfkrwCvU6qU7rvJvsVPfmoJS0bSnb3lLfZ95r7OtNELpMnt0TaYHWlhwfvHUFX/jEFlYsbCWOI0G27Z+y/Iwso4Kg5utjCFRAEARUq9XM+rKuxGmeCzl44KZlzJQj/tvf7+XgydH6SbdgnwZbr2jLJuU9+S3nkix3LvRjZSaP6VUlso5bTrZDB4+FQ9HVnuPXfnopUaR59IcX2H9s0safxj5JO3InGawJiebpMgeO2vPsdAZOgDk6pXjlcCdhPhbHWPvKk/EOGqXW2Ak25ru0pj1Fk/pzxTkbnbPBn62cm5clr9nKzgX2bDQ1k0kWXLfObPrEU8aK2jLguDh9tuSDd7n25uJrJmPb/pvjaYYji2YfjXOxQZ8NXS49Lhw3ubJtZreKMNBsv3KCn3zwApNTJR7dXZylThNccyHRDRCTwFFrODRU5NkTEf2TYSM8WXdiEKja74yJuoGfNSMoCyb5ctuqCkU5lc2DfO9sjeypjHH3kh/RtuIwsVa8e3AnL03fQjmoDci/q7fy9J4rqQR5yvmCDVPKBIPDI9ckYIs1DM0ETEeK4emY6aqq1zeqd6/xSB6GVch4tUiRkAMjy/2mOBf+Aa0D9unN7D70fu5eepR81yXuvfoxDr1xBbuDddn9oBuMmXcuDu91HLJuvePOHIQYmLJu6iKUzb8mk2alFFctiPi/bo7YvCBGx/YBOM2+TTS/TbkgCMjlcpwbg73nFIOTAa+fCdiwMKC9UAvOfNdzZCUZDBZUmX9xdYHzY1X+9KU8Y9PCjpqtJFjuQaW2hiJ7BdgnY1lG2F2Da3Hpkd2NGJx2FiJ+5s5p9ryn+N7xiIEZz4SEqe/CkPT4utpAnJ6qEqDSRqxBBZwcnGH3gXFOXZixA2ffdjozqSUFZMnM08hcW1YODldeqRy0sxvClX+tzPLWUW6/8QDFvnHiasBT39/CC5f6av5kooUXnr2Se+e9QVCIOPqjqzlTaanTadqLCYZlQN9gVprWsEzv1jPku6ZRCjquHGBBMFWnq8Hn1Bvm8RiqMyF6KkdkJgqUKKcUlUrAu6MdHH3yRnIqQitFuRxSLocCrmZqJseuvevYtuUwK3cepm3NJd6/Yz/7H19AOQocuzC8Sp6T98rRr0mxck5T1XVZuafImkLa/YtoM64Pc+1G4EgnEzS5UHHzlj4++6ErWL2kNmjM2iLfbHJKKUUYhsQa9h0Z4tX9g5y5MMH3XznDor42Fs0rWXc+Zm3Nd1cxzd9CXvHgzhVcHJ3m9/7mbcYmKsKWzH9GLoZ/05cbWQnbSyeMHCfu9hGmvPzO1prMbhBJrWxcl7FXJwmPba0BD93RS7WseeGN0drAMWUq7bxt2/LGLE18dJL+D1ccs97XJbD3dMhvfaUbpeDSJDRKx+01XaLdvGZlsmh13zWD6+1dPPiawcviKwtes6SdZ4Wfp8uB7Zb1/XYNyCefZrgbvLJDQzNcPhjN4M1mH26ZZnlZspU0NuMzC4YP3lxl1AymS8Nc7KAZ/T64EuZcfQA00m/zV40Uz+/pQk+3sPtQwamTBVPmeWSSrgBm8JVuAzLVFOUY/mxvL3+9r4fRcii+cXTqTV8CXcEKrOSKowM3Jd3Q6XbIitqBOVMXoaWX2oE5poNStWBZXvfgOngRFIbE3FR8iy1XPUXcOsHEmbU8+cbPcS5ckMKrkmM8L4Ig6yJ7XacJkWdWXs0nqLpWthwrHj3cyY/OtVGJFANTYeM3fu4VIQmu/cEa/v3+/0Th8BRDUwtrgY0VLJOp3nQlSZjkZFji8dP3s/r0s6zesJue1e9w7dFdvH1xKdO5lkY9oqwVJWuVycjZlblVB1v/vkGjhVPwI5uQ3DIo5S/5FqtFC9o1v7Kzyk2rNIGuIpN7WqovpYFUkGNwQvH0YcXfvR7SP6FYOy/mL18Oee645tPXaa5dVqAtH6HjaibMrFl/rTVdhQo/f2Oe48MR39gTUjUz9M42cVtutl7TPLc9yjwDzrVl2SYlnEBZ6BsGV0b+QtfDMzn+xw97uTCRY1gVIR6324rUme9eT4PHfQ6LtX8WcuwtpwZ4YmNf/cEF/nHXRSZmYiplTRq8m1UiRF13IsQ3qZGuSOjG8vLZZ9/msnmFXcGUt8ppWkoVHrjqML3bzqCUZuClVezat6E20AImJvN87YVr+e6+K1EBTA63MzyTIz0FNd0O6zQSE7infqcmkxlyDJ+cR7TpLEEuYuJMN0O6UOfL/S5T1eW/6/hK9v73j6BjxaXRNuzDfep0xFoxNRWAFn7V7QPQnJ4u8NVd1/BvNp6hOH+SLTcc5qoXN/DG2aX1er6+z9BoTYQI3Rl+jS5S3pJigShvDTaw9exL0gYEz5a800GIYt2yTv7VhzdyzYZegvTQoGYISMvIw7qiWHHs3ATf/NFxvvX8SVqKIbdsW8hju07w1Kvn+JkH1nLfTcvo7SyBjhpWMBtPZnUm0OKYtlLAZx7cwOFTo3z524epRtjJnZBKr+HK8tEZMk4HlRlysOIE6vo1q7lya7a0e4u+Wv7YZMRXvtNPHMOJC9MCXpJijw37+PWOYO30Y5yq2szaXE+qKOU0i7tr+8pHp0PKsbRGF05jff87Nzj2wXTrS/olvGa4fb9d3K6QfbLxOISmA1qXHlnOzc/C40YrrryzYDUzmmZ5WbrMoten/yxa8bzPgt8Mj08+bnLtohltWfKQ+c30hSd/No/ezFZ8+c3g+XidjV4XT1ZU7OY11qvGmqf2Fdi1v2Dd4DC7jCWu5NndKmiBEM7WOPE0YFIoNL2liO5CxMlxxcxMro7V1J1KBo0pG6r+1wSn7uma4L9EXga9AMQ1+KXknkcT9Lp108GF06kBPdURblr8LOGyk0Rxnnf33sNLer19umUaMGgnOHWeLf6S8mlwWsOvgck45MRoUJenKW8efN9uak1EwIWoD6aAUMjY4DFwpOnIA4CUDQ+lOJVbxsGXP8rKFXuha4QPrHuK54duY69ebx/2oz06EnL02r12nqWZm4vtGwIDYfsNq1+mroDtDkglGA0dRc1Pb6ty/0ZFXlWJ4/qMum9FsGElEqhEIRemc7x4VPP4PsXpkYDrl0X83v2wZl7EyydD/va1gP/nezm2Lo754NU5rlkc0FWMCFSc6qnZVrM6/phFbVV+5ZaQd/sVe84FYiwhZeKRmzVwF7Jxfbm0jazDhpQQvLFTOWCQZRtWjGv/DU7n+M+vLUBrqBDUjrMtj3ruhhTykLo0NOg6TFQRgmIjThxe5PZXrejuyNHXlaN/qMzkdNW2ZxOwulsQfUGrtdJgmNV1eVty1nVa5LY8s5KVmrrgX+IMaiytbxth444j5EpVpvs7+M7ejZwZ6bDoniznmRzowbID5fCTXolg5CvswtARKEbGS/zN09fz0ckipZ4pXnt1De+cXVQvJ+HJukpRroacu9Ql+JGycPxxg4xFn5TIUseafceXcODZDWx5cA+l+eN8+Na9HHx8AeMzhXrZVMamPxMydml1ZJyuLrqyMno1erF4EDRb9ajjl+/lAFUcbNbTWeRnPrCO269ZXL/yQkrE46Ns/6SYLsccPz/BEy+e4OnXzhPFmo/evYqH71jF4t4S7x0f4e++e4Q/f+wAjz9zkg/fuZqdWxewoLtEPmdYa/RN7gnT5tCclmKOX//JLew7Oswr7wzWDsuxBmw4/Lt6l7oWwsyagKFuD9kyTspaMlR12UubQNAawOhYxB9//SwoqEZJGWv7uHCKMl5qGm/6U/jbv/3bvz1bod/70XNUT94qmGiW7J71mpURX/zJS9x97ThPvdHGxAxWvg3Tx4DLmKKxvlte1putTDM4Lo1u1ODS61NCs7KOQTbg106+KwdfHVPO9362v255H3w3r6F14NdZs+STi/b8bUZrVjmXliyZ+mSXZSez6cZHn89+fLacZZM+u/PZGaKMm9dMDj6aXby+ulk0NGvLtRQGim0rIu7YUKWQ05wZCp2yvno++SjoBNrFe3ewJQcPqcOsvSsEml+/5gKfu/kip4fzHBouJn41KTd9CeJy/XfKorC5dLZaBosCvysTs/Jh8KChOl07IMPlL2tQl8hEAdeX9/DwrV8hnn8RfW45f/nMr3KutID0+0nv4NNpY95tKw5OeWpkVpk06FEZ+YZ3bZdRUIgrdFZGCHRMVTmD6DrLXnkcnF7EA8U3CJecRLdO0HNkCS9Ur6oNnlP6PXUlHSm5jv0qHL06Zd1Di9xggwyZ+dBZAb0mn4ObV0b84s2aZZ0VtHP/WRAEVlAkt2gFQUBEjjOjOZ48HPLlVxXPHVNcMV/x8zfE/PT2iJU9MYVQs64Xdq5WLOzQHLoY8IMDAYcGQQUBnS0BLXl396VKcWcdqNPbHoDWvH46YLLi2IRPFq69uCvEqYxFu5NBkQ92lp0aGzTvrAFnvXxXIeLhlaMsbasyMJ1jOi6AykE8gwDkp1+maAbOHwRVqLVzY09allU2f+ZbxeTPL3xwEV/4xFKqMbVvHM2hJ8Y+zSSGhdpjb+mgTNXrGp8o5SXzUrJ0Y32tM8rW/rYVytyz7QDbdh5E5WMOv7aap17azMXpVtsnNwzEXL06dEn+pCzNKsx0iZcPreT5d9Zw9FIvkTncKOVBEOm2cau9aprZiC1jJerXX8UEjFaLXLfqNMXeKfKFKhcO9XFivMuuL8wphaOw6XP1AM7KF8JHOfT4ZOwOKFMf7diSe02OUhQLIXdeu5hf/Ogm5ncV0oO66uQ3+glzsJNSAVNlzXsnRnns6eP83ROHOXl+gjuuWcy//hcbef/Ny+npyNcmonrbuHnrAjav7WF4tMwPXjnN6+8NMjZZpau9RHtLnlwY1Lr7BL786x7wpbWms71IqRAmcCqk3x0qR3aJmKxveKU8jKysU6N9fkfXbTgZ8DUcOGSeLb8g9UadRkOThrbWkA/cOI8rlrUwPBUxNhmlfUhaX7ZRsw1W6htNfu1F/t3d99Es/RgrjjK5wT3Y3EMuhLWtilJBeSfk7SRbjHQcLg7fu0bcXofppd9Hh48uH30uvCw4WbTMheZmcH00ZtHro91934zOrMFAFl0u3Vl24qPbl+8+zyXNRW8uvU6nlb7z/W5Gr3LKZsnQLZ9Fq6+cS5ePHpeXubQlF3+zPJ+MZ7M3RS7Q3HP9KJ/+iSEe/dYidh/N02gzLr1ukp2iJ3gzybmyQgZHSim6c4q1uRJtQYCWuCYHwdkWWEft2LIbrBo5uB28MRtJt1JAXDtttdADQfKtpSmY9S2CgmJ1ko90v0m07AwqCnnl2Q9xvGVx7aN/0/ml5Kg6DYCl+oRGhaa7GDG/JeLCVK62fTdLrtKMsr6RkEFoQx6pbnJxlfuifdy1/EnGBjby+5Xbmch3JLPpRn+2WCRN4/kOHt/zYT6xcQ9xxxjbV79M75776C8tquMzW5U1jSvEcosjgmZBo8WzqZM1+GlY1fHp0IFneIzrWQtaNfdfqVk/P7aCH5Pi9OJpp5UrGJ7K8eIpxbfeUZwahvXz4VduibhuOXS3xCgd1e80I6avLebhq0J2rNS8cDzkO+8q/vtzAVsWaR7cqLl6SUhrXhx4IcVQG6Jbs/6hirjnihxPHY753sHaFTx1vpVtf3IFz3KZ2taVJlmp9rQtOWnhnRBw4Mjk2nJiC72lKv/uwX6OnCpy6MkiwzPF9KoOyiM2AF87lV1FrgRKHK6T4tX1QFEJ5uXARUNrIWBJa46OfFCXjTVw9uCXcjQIG7obXX+P8960W7nSAcLuNd6tnIkPVAqWtE2yZc0ZwvYZKkMtvPfmak5OtNUOITM0ut1SKhxdf5eUCQPFgnl5SkXF+cEKU9ORkLW2+ZCO1ydja5DqactOGw9CTU/HJL3BJDGKs9OdTE7lBa2un6zh1Vpz5Ox8Xj+4iltXjNCxYJxNG0/zWv8ixmc8W5YtGYv3Uo9yUGC1BSMzj4+Rhm98nfTN1iBS275WfkubVFsyv5WHblvBsgWtxPKKGGpNulpFXH1RRxxrOH9xnB+8cpYnd5+hUo24dfti7r9pGeuWdVIqKNAx1WptIFqtVmgpBNyypY+r1vTwxoFBnnjpNI8+eZRn3zrPAzct48bNfczrKmHpnFqfFgYQJvcbpgNIYm7btog7r1nMI08do1yJm8u4QYzC9qWvd/sIrWwY0v6kfafJ1bUpKtpoCreGu6sj5As/s5Qogkt/eYKz/TP1sr6JKSXo1kLPTXaSmPR/OHBslmrEvXs25Atf7SFQmqEJT4PKDEhF4DXrADEL/2zlfe99NLl1fFGXfDcXeK6XbOK8Grxpg2Vi9wSz0eGjPyvpOZZzk6+sy+Nc6JaylTT54LnlXTxu7+Sjz5Tx0e3S0kxnLn63jg9+lg1l1VXO34xOq6FcM33OZjdum8ySfRYfdd1oYPJiK+Pv5ei/FIo6c2m7DjxTxQ0wrZlDbb9PaK/Eir/Y18XjRyP2DRXrfebURdJBowzy3e1Kbr5x8A1m5HYeCHNLHHhUtU9bdWf25fbPZIvekql+Fu54AQoVwpMreWX0Gsbz7QK/drbyYT9Ys5rQU4z5uQ1DvH9NhccOFvnqoW5GK2G9o3L50DiXtzsykZ2wNWBS1jbDlrjMhgU/Ys3tjzI+sIze715VGzhGur7SGdh15HegsQp4qXw9H3lzO+HNLxKt2881u0/w/eICYpJAO0J8A4tlFvZMsq7Tp5S9bdgyT9kRS5lagm4MOmRqspoWBorrl0fcuTamFEbObL5iZCZk1xEYGA8azK0SK/adDzgwqNi2JOYLt8Zcvxx6SjHoiDiKG+iK45iAmGUdio9fHbNzVcCuI4ofHgr4Dz/Mc+1Szep59bvxTAoVXLNUsWVxTE7Vg0etY5Z0xnxws+Kd8wHHhoO6zN0tc/K7RCM+eXohSRnfHZ/N5OvKuE6c/15J2S5jTTkKOHKwm+OjtcOgUrrzcvCo6vS5vsjAL7TXvmk0wbVOkKnkR+YKFmng+Y1nB3n5wBjHz00n3zgKHxwLnO53f5IxbyiQ8BUrRybi2SfrlNc6jZYPVJoAWL58kIVXXECFMecPL+D544uZKedn74oaJlhqCFcuLvFbH1vG4u4Cf/rEWX7wynD9JGzZ9oxMNFhBsph4sxBKXmMJq4Y3DDQbl1zgU9e/Sc/GfuJyjuMvruZL72xlYLStvpXT2WJs9DsyVWTPS+u49urDtC4cZ+uq82xoH+P1mRKWDcjJAMN2qjNVP/nT4Eu7VdFHp+0n4UFuw5SwzcpTkOS5PjoVu8knXd0sFUJu276Q265ZRKB0uoVea00QBAyNlvn7Jw5z7uKUjRKYqcYcODFKFGvuuWEJD9y8jA0rusjnan4ojuyVyxp7Gq1jOlsD7rx2MddumM+eQ0N854WT/Mmj+/lGbwvLFrTZc4IKSsWQ27Yt5rbtC8kFdVig6ZtX4uE7VvLC3n6OnhmvVzIw5Pbc9CRZ2YdJnRgZYycl8mQ/KGWdnuiKbT+y3ab3l6q6jSSDyUoF+o9MU9YwNhOR6RNTO5L9jsK6/3OWdBkDRzfqcCXjCzBhfAYOnK9JvRK7dVVGfRdPFjeyAbhlfLCzymbVa5ZEA82sK/E2o0+W95WRuOYKS9Zzy/hk0dR7z1KumY586XJlPFtdSaOPZ/dvllzc33PB7+osC68bEbnpx5Frszqz6WyuNGTBmE1+bvnG9lKJNF9/tcAP9ucZmpytHWXRXO+Ua6MHxG+nesPsa81xxyhOjecZnM4xXA5rxacuQlyxnauBZRx8LPDKINTXtBq214ly7n1ScbV+2qoOnABU0BIo8lGZG4LjqFWHIQ4YOHQtJ+O1pB2fuyLjxAyuGAE6chE3LZlhy8Yxjo5189hRzWjFwe3K1pdSMxT8NgxgVSrHcpDj0MgGFry1k+GRJYyHHbZ83FVbDz8DzOM7527moek30b2DPLDyBV4Y2MhosdPGL2XqHTwo0Wljy75BhqKMNz9DNiZZ7khZf+eVNHevj1nZE6O1fVejUorBqTx/94bm0KWQvlZtoZ2qwKnhgDvWRnzqesVVCyGnovQ0whS9bjx9tfZOs6I7z0NXBfS2Rvz+rpDH3glZ0qnIJcGTAmYixeg0fPbGmCsXVsmF9lbafBBz44qA65ZrTo9RW3W0eKWx3bj24s6KN5OzrxvwlvPYkwfWwFSOX3u+h5lIcX4qb9uwWXmsjGAGmnawnaR8ByjzjbS27Slr67eVasDODZYZnagyPhnV43/zYE2IOL5OriKYQYdyZNCwYufQ1LCCzuzlULSUylw9/zylRWPoco7+t9ZxvtJBGvQaZVkrtEKBrny0pq87x/Ub2+nry7N2bwvB7mHqh/YLxyu31rt0NojY4cHall+jq7t1ko9f+zarH9iPSlbeO5cP8f7pDr761mYic32Ie6WDSG8NzOfU6T6uXDRGx8pLLF0xwJ7heVSrAfaJm1KH4n3miauybFIx8NQz+XLyR+aZwVAg9IIslxLFgt4S996wlAU9JXQycpf+aWSiwmO7TjIyVmbd8k60jtG65jdGJsqcOD/Bzq197Ny2kLXLusjnlbUVP+vgG601AZrO9jxXreth4NIEr747yL6jw4yMlynlw3TsNTkTcXZwgvaWArdcvSAdOBo4YQDbN8xn59aFnDg3QRQbZ+TIX/YbiDaSnmgrbDmtI20XkSfanauLung9MAV+R99DY1V+86sn0Wj6L8qTYqUdGxq0HR9kHZqTkS5j4Og2Np83dntOxdq+mH992zSFXMxvfrONSxPpMVyeOr7fyvNO1p1rLy17EjdKyMrz9WRzwaE9dXw4fbBnw50lg2a/JY2+Z19dl5cs/C7NzXTklsuSuStrVyZZeH36abRJv4yz5NRMJr66WbbUTEc+OG4dX71mcm8Gt5mM3eSz5WZ0Zdmx+1yDWQg1LXnNRJily6y259GFcnXio9Mlo7Zl9hNrx7l5YcyX3mvhuf5SfWuNXO1wA13jtH1BrewwJMtpUOCQ2hAcJVd1FHuouWlfJ65or45z7doXCVvHCEY7ee3COvpVZ70jmm0lxuAXAe/FmRxf2d/FgYk8zx1vY7zqfBdkqcOhS0EaDMqVQekGM1I5KPBU+XbeePtapggZLnbXVWitGAmenFXNSlhgaHQz4fnlVFYeJL9qH/NPj9QGjhbPHtrMRfUIPfiS1J17MItVzicvSUSS5PR4rNPZfIVm7fyYHSs0pTAmihovxo6BcgTblsR88jpA17azKmBkJuDFYzH7BwL+8iW4d73ippUBi9prTLgDyJQyVfsGKdaKgxcUPzqqePZoSGcJfu6KiG1LNcUgTsY+ipMjAX/ziqpdt5XQZ92lFscs6oi5eWXEU0cCLk0KnbmTMq7bMG3DfOuXJWMp1lQnTfDg6MbYhHt3XQKqNRejUKhAQ1XC0rWVRwXMyG2rIhU6IN8G1eE6YIsVB55cRXR82v039nDvli6eeGOIx58folIVNgs0rIincJX9fa/3gCAjkyz/7sDWkAac3m8Pa/Ls7priqqtPofIxk6e6ePPkQqank88SvOGK076tbYO1dOzsDH/53fMs6s7z8tujib8W7dldFfL6naz+FPudsI8uZui5YoCgUBuWaK3Jd8zQfdV5wr0bieJcIzynaxsvl+h/YxlXbD9OvmeK7Yv62fXOekbNEbVaFDYV5apUwyqgUyYt5zhdV5aWWDXpYD3d2aFoONlT9HeBCtiwvJNrN9ZOUa2Zri1D0w3dun0Rv/LxTVSrUfpudLLKa+8O8sr+Af7o6++wY3Mf9920nCtXdJLPBda2V3fCLAxzjE5WeP3dQZ589Sz7jg2xfkUnn3pwPVet6aaUD9wd5ZEAACAASURBVIhjCJTi6LkJ/viRd4h1fWLN/tYxpqcjx53XLOLbz5/i0kjZsQVjp06/oGXnQT2vQcYyVjE+xpSl7nc8Mrb6VQmqITavDcZLRYUmIAzk5zWyj1aivoArY5jZYgZ+rHscfQ0to8EBi7tjbt55kVyxSuu327jkhSt7VvksHFZmvWa0ZtHoaiErT9LjwtHYinPLzpV2t5wPl6+8pHE2ODjlm5XJokHy2axsFszZcDaj2ZWxD7ZPFjLP23Nk0CxlqWmUuc9GXFqz+PXlufia8ZlVz813k7eHnoVeX3v3wXbfN+uM67TnQ/ipHaN85vZhvvTMQv7gey1OGZdOmdek7ZvgQxbxXcad/A6V5oblY9xz3QQ/GFzI8/0laJmfrDqWE/QCmDuYTM1E278NLWbm2jf76H576Q4eZ4agJbnnUQ5Ok4voeyrj5Fa+B7kIdWENg8M3UQ4LdXiSb/Pbu3JWLzNRCfje6XaeOtdGpZqcJKmgHogb3nQj3W4Qo6G3PMhdlSMMR5oXWrcwmWuz4ST0aRTj+fbaNltJm3t1RqZLVUQqZM/EavYNrOCKlQdZsOgsNxdGOBEtJgpydbi+S+RlQCY79SzclsvRtswb4Dmyl3Uk7HRLLpRCuHF5xOp5Mb5TAk0KA1jZDXevjdBxlJimRhNw59qAN07XTlH9kxcCvvNewEeujrllpaajGBBHjdd6aJXj/HjA9w/Cd/YHjJUVO5ZHfGBTwBV9Ea25CJUwHwQB+wcDHtvjqqLOp9a1ge91ywPWzYvZPRmm+rLkOJuM3eT77tTdTpwGwQK2wt7K6W7vM3gTO1jUUubL7zvPu4MF/t0rfRwdEacEmao5zzePsYZSZ23QKJPbRgwQ6VdkWxOnbG5b087975vP8fEK//zSMJVI+AQpLHewlK4yqvpvue1OgXVfnGzXEnza1ZgyoqGm7GjMQSFKafpyE3RecQHQjB+ezxsT7XX7Ta85MHUc/O7EW/LzwlCFL3+3nyBQlGd08q2kkFfDlksJRDzHtc/JVy4psXNrJ/uPT7L30ATlsoM3GbBFWhFN5RNx1CZH4lhRncij8eB0Zaw1lWrI04dXcuPUblrap1m28iJdnVOMXiwIu1VioC/7HtkfNvOF0h859VIdZ9VVzgm6TiNM6haLAbduX8Ti3hYn2y6vFMzvLrJpdY91P6xSiq3r53H3jUt58uXTPPnaWZ55q597rl/M/TuWs2ZpB2FAeh9kbUIrpFzVvHFgkEefOsqbBy+xcF4LH71rDbdsXciieSXy4niAIAhQYY6WUpjJr9aaXBhwzZV9bFrVzfNvD9R9ghxsNUxSOb48vapD1eSdTt5i27GUcRrKeGSMyXMdoqcPiWFeZ47//KmVVGPNf3nkDC/vH6/3ybLPs8IrD10ZK+UyXeZWVenoyPitxV84OhDyF48tIFAwMuM4Sm+waXknB7/vncJvEc1wZeHLguGjp9mzFVF43mXVlfWzjMVX16foZvL0yS1LHm59N9/VuVvGx18Wrc10kqUjt3wW/ZcDM0ufWfVdec6mX/d5Nj24+LP4ycLpwzGbTfnSbDib5bvwaysqqiNGL67S2TabjOdCX5MictuRM7irasXjBzrZd77EnrMltJkRbJmXnKhaaYTXsIIh3iUBZ/rXEGUes1aowA6eNdRWHodqA1knqA51xHXFiyzrHAYdcLC/j90z84jaxOm01j2QYK00uPSbnwrKWlGuiLI+1bonnborggrCuMo9pWf4qfv/kjjKMfit3+PNzu02v56T+izafINqN4l3F3PtDA+sRc08j2q/QG/3q5RGVzMRiO5ODjCU8jcxa2Ci6vV8Vz+434W57tDrohOYDVucFcSa3g7NrWs0rXlFtaoT8YiLrZUNKlCaSEdJnKJRRPQUA+5eG3DN0pBXTmr++d0c/+/TIZsWxDy4WbFjZUBPMUpEHXB+LOCpQ5rvHgjoHw+4eWXMg5tiNi+EtnwZrWN7JYDGM4ZMkquOgYK1vZqrF8e8cdbc62hkk8g5rPFt6zz5z9t9Kvu3GxT5ZGzKJTJOBNfYTQt7CpQmt7BMa6W2O8E6Edn6prEEeWqDR61rg0Y5SWLZmM9fegZJ8nsppfnh28MMDlV49dBYcuS+qGdNSjnJXQ1R1E/hNHnuicNmu6JOyqWDEW3XM3kScQIrl4t537wpcq0VqpN5zh9bwMhYq5CDlIfgJTN21ak5TM+YE6Qa8doyduHLhqPp6cjz+fsW87EHetn91ihf/PJJjpyasssnvPdX23n7xQ30Lb9EsW+cOAoYOdrHwReuIKoq0QfouoyljSfpTLWD0cPzKW0/RcviUVZ0jnDq/2PuvaMtu87Dvt8+59bXy/Q+wAyIAUAMQBCVRQJYTVIyJZGS7EXGUiw5sWNnJU4ctSjLkuWsOLLkWE4sW7RkUopkkRaLWMQCkiCIjgHAQZmK6eWVmdfLfbeds/PHPeXb++xz752hspK91nv3nF2+tr/97W+Xs/fcSMqPEnJQ3XRFmXWrJM+CDkVa93mylXbQGMDrbD5gfLjEu+/dSqno02q1oqT0iiBj9TFandPxjogoT6UEh/YMcWDnIT7w8C7+6pkrfP3pK3z7xSne+8AOPvzIHvZsG6ToQ70Fb5ya44tPXuLZ16+xZbzCz3/kIO++ZxvbJqv4XmeLfcf2xZNrysmCyU4n745NVd5+xyQvnZyj3gg6hVwTGLEQk74jbnM6W00dDJh6GPV5ybepIl1OSMtV9Bi+IU8Tv+/D6NYS7ZamXBQfvsYCyNgfRLqLx/zwQ9zjqK13Vx64MA+ffqpzYlQzmdzM6WmMtEwP4IjvBqefvE4LexOw7bh+ceXB65ZXyt+Wj4xzanAf8GzjdCPwXHTl4aJLvm74b4YmF64b0aNu/HRLV33m60VTN9r7gXcz+thvHlf+/uhrBfCVp0d549Qwl+Ydlz8lsLrRIoyedDidWUXnKrK1teKvLo3gKU0rVNGBllGe6mT6vaOTvBieA68RFXUWdidmr0qJ7J10D8pjTryFsM3E5qMUR2fQrSL163tZLZTNfPY3V7IzimnMa1oGHRbdLtgyn1jFCcJBvKAKLU3LK3VvFja8DG6Vjbe6o4ZXZmHqMMHGEN7wEkMT56gsNFgvDAoeHXiM2WUcdRo7aGaUeTiF5F3Q57zr0SGHqLzvKfaMBxzakg7UYgcn45RB5s7MZJuo1kDAWDnk/Qc97t8T8OwFxVeOK37nSZ+3bNF87K0et2yCFy/CF9/wmF3VvH0P/P1HAu7dETJQCECHhBEOE3Z+sO9NGy553LsTvnhMM7+hcurC4sulf8mvoz7koM6GET8rTN21VykNXJrZWpH/8S92sNbymKqJE1EzbpBKD8whTAeNuSHCn+B2tSXBj4YnX1rm6R8s0w5059LybqsghmxUNt0uY9syeb1DXE9S5l3xdvIVS20m7jkOClorVV5amKAVepbds3C4ZOS6SN3Fq7JlIvJoTJlowFMEWlML22hgtdW5XzhvsqreKPK5U7cz/R+rjN1+nbBVYPqVXTw7t4Uw9ET3bdkpSzYbG0Wuv76fLfdeobxljcNDyzyrdmOsWko74qq/jKis/i2jG330y8YdgSbvsq4UcNueEd6yZyxz/UanaD4eaT9im1bwNLftHmbvT93OY2/fwXdeusq3X5zmiSPTvO/Bndy6a4RnXp3lqVdn2DJe5ec+dCuP3b+T7ZsqnfmmMIgmfFM72Y0GO19nEOtz94FJJkcrXL1eQzCdyqNDuFvGys6PmT9FLKnIylimYemyU786z4vLbX7j9y8Sojl+qZbmN/TI0oEMHIvWnHAT3zjm/TqIAnaMaR452MZT8NWjBdYaysqXR6SL0X4d5rxytqfi8pj6he/KJ2HZTnsvPuz3PIc5D6+N3+YrL9hl+8GRlyafXV5ovzK2ae9VPzZ+Fx+ueulnQOeSoQtGt5DXRmzYN6N7Pwy8G21bveQU5+lP50OtOHvN49K813GCcunTvemLDXmvKnEY6ILSvGvrGnuHWzwzM8DplYp5T7w9eIy3v8UdaZ6ZkZF5xljhXtkC8LzO1Rx+ITsgUQpfBxQmptDDa1AbZn3uYVZLIylcw7mLytrbVeSsctIZ4uDJ6hAzgx2ssp0OMdQe39Pv5NyRvRCEnB24xc1vZqXR1Zn216m1vCKvrO/lkdowo+Nz3DKyzg7VYEHrzhUl8lCjGH78DZ09e+/a6phcGxHRLwcy8lu8zEpAjMsh4zh/pCtFT/OWTYotQx5h2I6SUycnnlVPgpCL+/JrUARMVjQfvl3xwJ7OCuRnj3r82jc8BkqwXIN37Nf8g0c0d2/XDJXaEAboMOuE9Ro0utJ9pTm4GSarmvmashwaLDnFMpY6IOKSQYBDJ1xbWA19tdIzuqwNHLU2fH9mkFBDM7Tos20AZO9ozLgCkjdNclKl6yL7+CXKev8dQ9y+c4DXL6zzyqk1glClskl0OoYL5mp+nC+CaQ9QjMFKlM++r9QOtq1LYHRCqRgyfGAeDbSWKlxcGE8c/Pz6z8LJyDjmM5ab8c2mDS96lt+RCVgrawH//iuzPH5kmdmFFtPXm5bshQ4qWF0v8Y1TB1BvHgANYagETw4Zp0wkNqNeL/DStQkOtX38aou92+con25TbwiX3MCrMepM0GPodGZiy9IL257bth1l4rLEHccppbj7wASjQ2VarWaEyn2QjSu48mgdUCoo7j4wym17R/jAQ7v40pMX+Nzj55lfbbBr8wA/9+GDvOf+nWybKON7KtoBkcKyt8h3C8Z32FrjeZp920fYPFZmaq4WL5ImYnHbJDveIeOMDDH1UNvp2oyLH1x9iegT6y3NcydWAWg2QkG7tC+47ewNhr/m6ziynfrt2wN+6b+YolBu8fQ/uZW1hqWkGY9DW7AkTPlsW3sbt7SWNj7bkst8tiCzPGWDTbO20mxabDzd+O9Wsd1g23hcfNjlu/Eg6XTlc8nbVS+9ymCldYOdx0eennTjoRudLvjdZNxLN1111a2eetGQF7rBtsv2U38uvHb7iuNsOrJ4iz58+N4G77mrydPHK3z2RfsuLBfcbjyQNm85yLANpXz2FEWl+eRbF/nAA2v8T1/axpnj5Y5DFueBdPAYNE2W4q2L8cEqGowBhstBlQPPeLuZEmlRB+SVx0D51mJSim8waDDur4AfUF8d4cjqBO2RQrbDAlSoGQrW2e7NUgvHmPbHCIiv+4hwJtswe7RHl2mwj4SPv1tUijk9yNza7ZFcBL9a8NttQKhIr+SwRJH8CidYK48ZVSWY3oXeeZ7No5fYVrzKMbaiUWJ7oTJVK647yYcmrcdYPob+WOWdqh7LNGJHg69DOhdfuPu3cgFu2xJS9HVyp2OSyx4UxbREad1m27XuYNw6EPLRO4s8eiDgd59QfPb1Iv/Le5r81GFF2Q8I2u30LknLGUu2ynYJLjq01uwZDdg+ojiz4KV6LR0v+/tQKRptytFiTCIX7y46e+hy7PxF9belGvBr988yvVbkMyfHmaoVUlrjQ73kVRCu1QOpG4ktEG3BWA3SEa9WPSv46EOTfOInt/LvPj/N6+dqBBuhtcXU6ufkNQKyjWay6vQqDpkoxRd/Axl9M9c5pEQThiqqS2HkIhlsCTeoDtbRITTnh6itDqDR2S5EtEfP04wPbDA5uY5fCKmtVJldHqDeKogCkj6rT5LXJ8TxUsYqilcKwg47M3NNZuaFbTcmsbDqKOI3vppFDsyknbfpSwYECq0UV1sVGrODVHetUN66yshQIzo0CIzv3xLwlu4b3aLQQ88Rb3ep9u4Xo+tWeErj+RAEadVIeL6vOHxw3CTHWsHrZ9URyAzwtA4pF+COfSMc2HWYgXKBz337PL/+Xx7mHYe3EwQtQCcrnS48/dgnG7/Wmm0TJXZtHuCNc0udreB2W04GYbZMpP0RD9oqkyCNytjm3+iXZDsR7dIeqEZZx0cK/A8/vZNAa/78iTmOn6tlr/Ww6UgmrwRdfQwmb/Ibx37TNXNrHq8dHaRYCKi3EXlsTb5RfP2W69Zx2BqA4zkvSDwufLbwJdw8x+xGaHCVt2G56HPhtGXQTYYuy5jXG3Wj1VXGDnbv0o0OG5ZLlnl58kJWnzMds1OHb6Quu9VRLx3Lw9urjvLw5dHWLb6f+nbH+Z7mbbet8ckPzVHb2M1nXyxh0t+vHpN2yq4Ow7GtIwmhJlBwfLbK5FGYXSqms8d2/ryVR7COfSe7NTFzMAppuQy9HpXyEO+szKOU4pX6EEtqgEB5hvOxVdW4vbLa8fkWJrmqxbeNVpVXwzofKH6Pn73vz5g5/w5+c+qnuVbeJGgX+OWdjHGnZ/CmxZZAyVf8HJfB/I5KylN2xK6QgIyc6ES+KbxyoXPaZa3l0QhlPcCGX0HNbuuUHVqk4s1lZW/LyubHXv1IrgUh1TUJy+/y7qWyG6XBBwdnOd0c4ExrmFVVtlZCYaCo2Tvatj6n7KL/Qo/sEwgTto3ZfU0YNhirVLhti2a8qjm0VVP2AtqtthNXP9u/XLhk3FglYOeIT9GHRjLYinXCIeOksMWn/X2iTJPvse6ixMAperdpTCYxBC0aRkoBP/vQKscvlfjiuZHOwNHGJ3Unt1ux+gR5iEYcZzumcYgcwFNTNZ55cYnzl+qd6yDlASryIJbYAY1hOQ+dEXZVugCJ7C1+DJoUE8Mh79jX5PKSx5m5AmsbHjpMiVZKc8dQk6qv0S2fueub2GhUBP9CeBF9BRVy+65rfPTukxy85yKFSpvapU18+7WDfPnV29ioF91tVdSh8qFSalNWLZRWNDyfeqPQ2UqqbRlLmYh6kg58pr27ZCzkGj0rNJVKmwIhG+1i57oNEdbrZRpznYFjZWKd4aDONaKDwZz9X4wnp6+T9jH+Seyn4A2y32QLPErBLVsD7tza4th0kStLPo2misY6Hf6GBors3z6E/GZRhn7sRK8VwTAMKPgFBgeKVMoFhgYKye6LfsKN7IqIbeZQtcC2TQOUCh7tdtuUZ1qSjIwTQCJdifz2bgAUxuBR6qNLrzIwszRVqx4fefcErZbmyVeWOa5Jv1GWupvYnYR5Mie69gg/xHUcKcGil8eSAqdnPP7pFydQKJZq9pSXC35/HZOJvx8682i1y9nx9vvNwLZxOAyCkW4/G9a8T3q6hTw8rjpw8dWNbp0Tb6fnycDG2Q1WnoxsGjM9opXH5aG45H0jcnfhz6MnzzB1a3N59Ngwe8HqRveNhrw2YNdLh/52AC8dG+TToc/Tp4oib790ODpUmSa3YmW2eaSOYStU/PGbY3z+3AjX64V0JUSuwMUOpVx5lCsbvVbNDHJVNj4Rlwflcapek09sOcOOt57jyOn9fOfifl5ubWKFMtGn/wwUlxgdnqKlQC+NsepXzE5C0FYKmxzaeozCgVOooMrA5R/L0mvfFxk7IraTkpz8GckkjDs1BzzZOcmV1iREsjW2j6qUB2N1LX2ueppHttZ4x7YWz80UeHJmkGaYOmZ1vwKLewEIR1apFJfwmiGh52VNgV039uBRGRmyZVwrtLbqQ8LPqLfBP7r9Za6MbnDkxCG+ObuDM+EEdVVMWB6taCar2nmXdAeltVVVxHfIdg8e7XitNUHYKRe0zYMr7G+RDNxK9XTMXNtbS77P1iFNydM0jAmd6J9dL3Fa5ntaZcoYmYbQH0eaLChJTCZMTF1eavh85vuTXF33WWj4+avydruzD90xBpVCr5LBY0SkkU8n2UHx5WcW+d6rKyyttGm1wjSLNPH2KZp20NpM0raSKUGHdJJN53XTcMDPv3OV2njIkReqfONYhYuLRep1OjZKaQY3zeH5LcKWx6Waz6o8/Ch2ZIVTvHVsnZ+6/w3ufM8JCkMN0FDdvcSP77/G2swQX7uwx5SLtXXP82DX6DKP3nqR8V0LKE+zNLWJ187u47XlAVpN60TfRDcsv8De1udyC7WQicwQwRoebvBjB88wNLbGc6f388b0ZsL4rkal2Fgv01oaAK0pT2ww5Lo/0Khbq7+J7bPdx9lyse+GVKT1autCpPq3bWvxX394hQvrPs89U+V7F0pML/q0Wp0y4yMlRoeKyffXcidCv1tE7byusvG2fI1OtqTG8a7nGE4/wWXTikWfydEKxaIH8jDPWLbJ4BzTL0janCK9mxSyk54I3bN8TcN9EvZAWzjsyYOoLtfWQ/78m9doa83luUaKQuqFxCWDFrC7Vx9w01tV85xCRFwnX9GHsYHOZcJTy6qzjSADyyyTbaE44qyG33UA64rLUy67XB6cPHrsuG54XGVtb6aPWsyUs2mwlKarnPLodJXPo0HidNVfHhxbZnYD68WDix47zabNxUs33bLpyePDprVbe3HR3O3Z5sOmtRtteaEbHzH8fujqVh7jvR1qHj9e4ftvVmi08+pP/ubpS5xsdaB5A5k4LT7sw4OhQsh4MWCl6aGUj5ZXQIDpQFUnoTYHtPN5j8WVkK7S7Wz2ts64A1d+evUGTYYrq2w+dIa/ceslHp5+jdPPP8ynZzdxrL2NdYp4fp1wcK3Tn62PdK65sPFGYb0wwNcuvJ/Nn7+Vr69MMlcS24wkLcbqmjLj7UGeXJWUcOJgn0BqDxolndJpl51inMcaOGweCPg7dy3x2OE17j0xwEvfqtJsegm8hl/m7MoB7kNBpU7JW8/CkXTKlaZMR0sqEwkjUQkH/1LPkrhUnwujc7zlvsvsf8slHju7lSeP3M9XVzZzNthE0yswWoXhsglUDuDsU1UTkfZw3G520HejIa+878HEQGebemZrtGxjmStYLBnHeuGSsV1/0lQZDjVpPmPyAqMu51sFfuuVcUI8aoFKddOlT1IfQgcNMeyMObQarZIPaYGBis/kSJFWU7O40jb8yzSrlJ2FIyMfC6ESeeWvTBQyrIwH7Hugya13tHjk+AZPP13l8TMVzl4rEoRQGmtAUaObHrVWiRbiWgSr7Sil2LNpnoNvu0BxqNmpLqVQWlPdscyDP/oGX/v0HgzHXBHZVQUe3DI0z8996AUOPnQev9JGoWnVyhw+eoG/ePoenju/iyCw68uixZCH1C07WdDgyL+vuMZj73+Fwa1rrH3J4+TMJE2VHgy0tlZhfnmcTUpRHGgy5Hm47QU4r3qQckjqJYoy0qQOaVN/Y5q1Rg4wlQ+DO9o8uL3BnXc1eM8rJb790gDfPVdhdsFjfLjEQKWYmZzqNqBLROewP4Zd61FewrAnuuyBaLfgmlgr+Iqx4SJF37PkT3art5SxvDeWtH04ZZz0bcIf0UqcYCzLCBjysKrEpqR90ep6m//rL2dAazbqYdQ2VGoP4m2rcdl4ICp1yd4OnRNucquqcsS5guLOHW1+8+OrlIuaj//rMWZWXGUdDTb3PY6zOnanQ5733ItuGQyL3AeefuHEcXa6K8317oIt8+XJsV/Z2XD7wWMZsq7lXXEu2nrR58Ltqp+8vBKXq7yLBxtOnjzz5JVXxzZt/eiYzYsrr4tmm79u9dKtTl10uWSWjfM9OLw74G27A35wxee5s/LjDBe93XQgNsyODj+TVRkOY9HX/OKhJd59S4N/8fwYX75Y7GwdhOibEZE/xjEQ3fOoxbZViVfQskVtMF4ITd8k7jCiAZPyfPzqOMqrg4Yxb43KQB3lgRpoMH7LNA/t+UvuP7uHF964lS9MH6QYrEGl0emDmkVaqiBU2NSJllfileq9HG3fgx4AHXcehmgj4uRWVY1YiVR4OmCkVUMrWPUHCH0/5cVwyLFWHC1cMexkJjeKi+9gk9+MyjqLaFtve/xgepA9W9scuTJIK+74ovoKlM/xjRJvA3QhYPvwKnfpNQIpo0QvtAnfpjmh1RWf0pSuTpLFIcrsLK6gKm20pymOrLH93nV+5uAVPnziAF8/tYfH5+9kU6lMtdQ5/KGDxuEY5dgE+zvEzsEPXmblMf6N72TslMk6XDdy4ISLDnPACyPVzsqQuc0b4VwpMy75jjgCbBwuJHQuRhD/xjIPIl2K4RpEiueca3KGCwEf27/OfN3je9MDLLV8Uy9Nph2OocCVuBDRi3Gwi7AzkKYlTiL87GOb+MQjO/jMd6f5vS9fodnSljmOYViMJLizOlPwFHtGQ0p+4NbfnK5w73ibQkV3NkkMBxx8KGDfXU0+eKzG114Y4KlTZYZGGngqJMSnHRYisEJGscwiWQ34TYojdeKr2pXQncr21VQuyUBbJdswxwYa/MT7XuctP/omfrmdwC6WAna94yx/a8PnwsIoVxZGzW+/krpwCCzRR5mW0xdb8lkMC1w6u5WxtQGuLY9G3zOnvNfbHteaitsBvxxwy7Ym837L3dW57KiN17avdr316UIpD7aPBvgFUAUY3hpw9wc3uO2BBh8+UuZLr1TxByaplP3MyuGNnmgq323iOirh4amOpfOUh+d54nRnmVc7bWResGmMn33Po1ouRPOmOUKO26srj7biPBHfwRS9Cx1WEn70nNgx8axFmk4ikp+BssdHHhon0PDMaytcud4U37sKO5H08zE9CL2RCpQffojrOHD8ZoPyoOa3aEijlClrCa2rxruYkhbZBVOWy2txLpj90pcXHK3SOaDJeDJkZZtHa5688mhRmHjz6jDPOrnguuQh6TB6TAcMG5a2nm28ebKxdSSvPI64PG/RFVzW2YbRjTZbRjav3erTNrDaenbJOE9+3dqITY+LXxeMbsGUccGDD963zj/60Cq//9UJnjtrmyOXneliE5yDRZ3+SmcjGbBolNb4hQCv2sDzQ5Th/NkAVQqzMgH1eQjawpjH2RSEmlsL6/zCoec5tGnFIaVOAc9TDA8PU/D9JK7kNyhuu4ZWYdQ/KSgE+Ldf4OE9V3ngwgVePbuOLkcn2rVKtL0iRidlrywoOt9F2fXvWoWLO0VpnrTmvvAS79/6ZdZbBT5/7WNcHtxq4pIrcYZq5uhJZsVI4Hfli+plNk/fTAAAIABJREFUsenxJ28O880rVebqBWqB1ymkOh2kxmNDKwh8KLT48I+8wkfXJgBxO3RP292P/bPTu/UVHcYq5VX83XMoka6Gmgy//QQ/ffAc7z01zcnVu6j6exPoebPqtohcW0w1iqW6T1tnr7xRnmK1qQm0YqnpMbfhGfc0xqHiBwwUg74dMwOH5aCVfWv8psWDSw/ls9SPeHJBtklXHUkHyTC3Om3jmW41TdtUCfif37vAySmf498psdT0MJ03gdN2JOVkis2LwVQMT9gceTiOTsHVSi2afmiYs4Q3gwZpC2IcMV+pvRoZCPmtT6ywaUvdzGuHJLrzUKhohne3DT0uDWl2PNDkkwfbvPtEkeXGBsrX6FDRavqEciCcdC8pnyvtKs35QYojjYjhtJrXzkxYwovrvQPslsEVbrllBr8YiE0TnUGHLgWM3XOVHc8uc2V+VHRrGlPmlgylPYvTNR2dsie9LLlNrw3zqa8/wpDSTLdKBPFW+qheQw2tUKMDKA+1+Ft/d4pPbqhUxnEf5KoEwXdGEQx6bZsc95VSjhJXJ2N5NKQ8GaRjFgXVyYDb3rfBP7y7yfp8jaFKN1vU20bEdqHRDDh5aYmVtVbapBPKFKcvrbC01uLIiTkWV5vZ1UoPdm6qsnfHMJ5oyDeza0IpKBQ6A9R0sOUyQrLd6o6A5GSz4/TemKMEkRbw7P5TTkTHdBh2ypKv0owM+/x3H9tJKwiZnW9yZbaZ2j6DbIHPprFP2/5DXMchQ15nCaemPf73z02ggKX1XmVj+HYn0Kujd8XbcXllXR1OHk39wuzlcGhHXu1Ik7S55G87K64eUOKRvWY3WmT+bjzauDLWt4888bOk39XDumjO47cb7d0cQlf9uujsJWMbbh6ObvDy+LLTu+m+S6dsfcmDL/Pazy697GZw3LZBo7g4V+CZ0xWmljxHnl5tTnaWlmOUx4ej+puhxx8fH+cb50c4sVTqzAzLThZSmIkRj96rm8zTViU9SvHQ9vMcPnyMzz3zdpqhn2mmyvMoDwzjzZmmuKqb/ESzxcTkOmm7jQhW8NLVUa6sBmwqNaMFBi9dJbW/VZTikiKUM5lS5Ma9dmmiR8gdW37AA+/6HO3aAPPfups/YWta0MuWscWfDSr9kQNYe+VPme+hVszVC8zVHZMNUb4WHqpRhmKLN88c5OXVvZ2TZCWJN2PG8sx5nrmw1Hlc1fiZwVX8wUbkI3bqVCkIAo/nroxTGxhC5wgtb/AWrxbKe9WUUqzW4fee8bm4nB04ekpxfsFjekXxfz5TYKKqCfEz+X5kX8jP3FOk5LX6Hjy6viHqiEmnfBvfAdp1TtaRydSNSvXccIoR+qSyuBKB4dZNoW+NAI5eUVxe9DuHMGl3vlwYko8kb0yvo50kehM5pHFBT/Glp+d56cQaF2cbtNois47yS3jy+gmXbYzw1dvwtTMFqlcHUly5/X6avrka8DcGNygMyrOBNVpB0FZMXSoQbA7Y5IGmM3g0r63AeNYKLsxO8NrL+7h/yxrFoWa0MKjZmB3hmz+4I5WplGMUxsdXGB5fBRUNqlEGy+XJdYY963AVOeiSmZNtfUIhY9tmzHrIvkUadkU78JlaH3bXcwSuHSh00Pnu8fTRMm/UZB2Y/EnZ5//aoR9/zzRgCsVtW1u8eyygUArTfiWqu8ZykWvXyp37Lknbdr/bROXqpFKKpbUmv/fZ45yfWsP3bRulWF5vsrbR4j9+5QyVsm/YRa2h1Q75m+/ezd//2CEGSp7zXsledEjpxN9UpjwLmRnt2W77Qo7JpILoZJTUFQk/KmtcnaOE/sl+NUYh9FUBoaLVhuMXNwi0Zq0emgdiZSYayPo0KLcKOcIPcR1HnmKbYXnD47UrnXxNubfc2XPbzzLkNRabJheOvEZlNxwXrjw4vYyrjaNXvBK/vYyGHWendTMoyvq1gw0nj968cv3UpU2H0RPk0J7Hhwu+bRy76Yn968LjkrtLD5WVr1t92XlduFw8uryUPDx5dd3bKcjnWdIp6XHVfZ4sOs+tNnzh+QEeP1qN7ne16XCXM3FEcUm0NIYqzRo7AsbBFirxF86ulLi0pqkF4vtGgxxhpO04+7TVmA6tqVTqqGLIFy69jXVdjnumKI8H1UmUV8g4deN6nUf9OuOHr6B8DaGivjbI2ZN7+c9H3s4LtW0cKL/C25sFqAJKR58niM7MOYh2BPntZ3zdhHTMIlFrrfjB5Xu4++JhCq0CL63thEGN4SAnvGPKKnHIhBxjHE55i/SYF/vUzIg8g3YR56PBbxMCL5zdxJ+tPkzLK3TBmTp9GdW1tyLnBRuGLYdQs9df5GN7LlDYvQRodOCzsjTM0ZcO8bnTb+VEcwv37C/w8bANBM6tp3moXdvEGm144rzPSBkOb8temLp9WPHw3hCFzpiXRqh47qLPRNnjY/d4KNW+IcfM/nZJa029HV3FYR8e4/rGUA4UYn121V2cNymrs4czARkzJWG57n8EZjaK/KNv76QVKBaavgnX7gJc8BL6Y5wxfKsdGKsMkliVPF+caTAz16TR1OgQjG1ztr32hPIZAyGRT0Gtofjs40OdNNe1HTIIcm7b0ebdtzYY2d2hIWzDykKBM89U+YPnBzh7pcDH31th310KhYrEktNvRPZyfnWQP3vqPlYWh7j7sZMUhhusntnEl793mJcvbE/LGhMFHYI21io0V8sMEn3/pkAOplsrFTbiK0VimXik13cYd0E6fBeXjF13HmZWzZVpi5MBRacLwIOw5XH0iR383zPD+V2nbU9infKsvIh4aUcljC7du+fBB++p8+Bb65THOnah3fCYn/V55a9G+eMTRbaPFXjwkZChasxS722i0obFv57n0WprLkyt8/BdW3j/wzvdk2JkVVIBy2ttPvft81xbrFvXVnUP+dcVQb0RRp/bR1hDFbUlrLYh6zyqU6WF3KN32UcpS//i9BhejDeJi9tH/CwIjctE+ru43OJXPnUegMWVdgRPibKWgJJTmWP9zNr/vPBDDBxVH89waEfAJx9bwS+E/PM/n2A+WXWU2p9fPhtsr0HCcJWVlt1Od8X1S0cebS4cMTyb9zz6uuG288nyPwwsV3w3+eTBk6EbXXa+fujphkPCkfG2rPPSugWXhc2Tsa2LNu959HTD2a+O5uHpJ+SVc/Hmos/lELjgmMZ2oKwZH+zM7y3V8vD2oiWOkoZZZePjYhaJRU/z83cscu/uDf7k1XG+f3WQ0DUAiN8T9AKHPXiUNGhNG0UQbxVUdDyG8jh4RZO1CG8bD60VKoT6/Dgnp7bz5PMP8Zcr21gOK4RKsV+X8FqlzqdfxQZF3WJDVbNOiu24GDITz8l3ZMLhVSQOsFaKY9W9/PqR3wYN9YFK6kS7rhWR8OUWuUR+dF9lRD6LNFn3kn7Z1ICi1uhSE69doBV4tLRHOzmcTei6sY3ZwmVsZxROoiHL6D3UHa8rFPTZNHqduiVU0PKYm5nk1Qt7+dKR+3m1PcGqrqA8xXqjzUaj4+3nnW5qhBA0Cq281PFSnfdQh/hK88G3hPzCg8T7lVPxRqLQ9n2RHizVff75t0MyCwERPf0ESXeoYa0BQSjkkjjAQucyW5i1+S2pExHCjDnyxs6bMRgQzznfOPoKxssB9bZiueXTMu53s2xLt8OgEpwRDYm5Vikt9qqptSLxsUc38SMPjPLNZxf50hPztJoR0zEco/1Ybc01ORNFtQOBS24BNvJrA0cQAoEibMHqlM+zr1f59pNVXrxcZm1d4fmaYCM+xVRTLLfxPd3BZYeoXkJganmEP3rxPspHD6M8TRB41OtFwsBh20UbPnV9kjPntnPfrQt4pcBI123F1LGdXK2PpUWNFZkOjebgEaEvlmFKZGf1h11knLxHAwoFFH2N54c018vMN6N6kPVooM/xWdoiXpIa2/IkXvoHIp9FrKd11D4V7YZi9nyJZ1+s8vWXqxy7WqTZBPa1qTfayWDQPqjGPCQH1usB0/N1gsC2PYq55SZBCIduGeU9b99FGLoUJBuUUlxfavLc69dwHerS65CwGEb8rpSi3Q5ZqTVpB2EqqsxESqQj9qq0/PY2aW9WfyH7miQ9JopsXcuBpbbxKXHADSjPY2yggFaatVpAvanIDAYljFh/5RUgLjvhCH8Np6p2f98yrPnAA0sUyy1+9wvjsG7n6wd+HFxxLhiJpbTK2l6J/WvDzMsna9hhxJyDRRdPMq5bZbn4seNs3FjvdnkXDpuObrT3m7cbXTZMG4asszx4eXLJo68XLd302sVLXp5+Qrf67FamG06XfLqFXnXbS0dd7aofuJ2TFT/6yCo//dgKX/3OJn7n69Uc2rrpiiPI6slbmRB5PA8e3LnBh+5d4alLQ3x/ynIOtANO7FTIFQo5eNRWXkR+5XW+j/SE+bUGVlorplcnCJ59O1+6dIBnZvdwuT1IqBR4nZMGdeBDs9QpVmxRiO+4kgeLZERm8p44ia4VmURAKjlgJFB+5/RW25+yV4vivlFrir7GV517+0L7fksZck61TB3+uKwoL1dJYxiAHwbcWom2rDWLtMMCaWcdlXMNIuJ4JWToWm2MO3dn5y9ocZQPtcfyzD6OPrGb75y/jReWd7BMxZhEXmko1prKkHHmMIcIdDtUvDqj+NQLCq0LyK1cHrBc91msKQqepqhC8NyOmVbZgWlBgad808L0s4rtyNfZRqtZ2FDp4EE6Mi6dlddjZNqUEif8GsC6EZU/+LR1LkKxtdriX//4VS7MlPitZ7ZybrUk0pW7nP1s4FOivcv8okCme+883L17gB97eIIrUw2+4i3QilcV87ovLF5d5jyzyhrrrFXWat9hqFidrnDs8QLfeWqAZy6WWVlN70rUaIJGAUIP5UGhEOB5QrASn/jRKFotn1bLw1mfslysO0ox36rwrZfuZM/OOTbfMQuFEKU0YcNn5dQWvvv0XUzNj3Sx68I2yImzjGDFq1PGok5cMo50t1LUbC56KAXtps9821FXMRGuCUB7Ms6mJ7NNEYyBsR3EwDJoKhZOF/nqcwM89fQAR2cLbGx4SdmF5QYrtRZKeUBorDZmruEBvvvSFJdn1zI7zwE2mm2uznVmjcMwIAjabjjaPGyrY08CQq2Nect+7JPLNimlaAdtFpbrNFtBSrzsH+O4ZOu7VR+xHB1qlbwkemfVk0LojtVIE9g6LWsywMRogd/6h/toB5p/9SdXef74alYPZFmJQ4J01JEdfsjDcVzOrpl+9prH739hK76vWdmwK9SmVlnxNh4XDheMbnn7CXa+PFpsOu3ytkNtO8IuOvM6PzveRU+enLSDFkm/He+C2atTdvEkg6RD4cbdryxdfLryu3TERWMe/jz5dNMPO0h6u8nVxqUdcXm4uuVx0W/T140nG04eLNuY9ZaRUrBlsMUdEzWeHghxyye/vAledLCxIbTvYbS3E0XpQQBfODnCG9cqvDpdjTpA25jq9NnVYcSdgWvbqsSZDBp9E4ZF3zolfuf6HdSv3cN1XaId3wdFxBeaMCjjbVQ7E85Dq1SDGjCRdmx5qynyVErZ48qVMtdKSgwg6TQt3iQc1YkbLwd8/NZVdg62+Py5YV5brEZsapLvP2TnrAQMe4XJtYKjSQaL0okq6RZ3Dc12opsl2mFVfKvjcL5cfMQ0ZgbgKlsupi+mSZHK0pLNdQb5b998kOmwyqouknwhpjr0aAVLG4r5mtmm7PvPFIqipxmvwmszHp96MfttogLaISw3VLTAotHWVlP7QB0Z12vrWT9Bwm62NTOrpJ+tRDxnJi76kXH8rkm3GsZB7ltztYU4j314hAxROyp6mtuGWrQHPIr2lrXYziQOmcWHAS+yE/EBVUrEJxMiOi1vl0Xx+KtLXG+2OHJslXagjTSj25Db0GSQadJtsleUpfOb5NdGG51a8PnVrw4xt65YriVfrhp2o71eJgxA+SEDXp1CvNrdT3cqt5VqzK23Mm98wb2GH1zczm9/5kP8vcNnGH3rWVQhYOr4dr786ls4dX0LrdB3uipKaYaqLUZHOwOYleUBVmvFlCdj8GXJz2kfBB85XfBAucmmauek2HatSE2H7rYgcdi2yh4UKMx2YLSlpKBYLRP8RKt2Yah58UKR0386zsyaR62RXnMUh6XVJlPXa7zt9tRm2DZFa81QtcBj923jymzN3ujQKeNrPK9zTU86nnHbFdeVHVY1Gvj7/c4ytXGKWj1gZn6Dljyt2PYflDJ1M24fyqpsWwcUGPd+2pNOcTmJN8Yn6y6OI4IXPfo+7Bor0WprKkXXFhHLzsnttcl2bY1r9dYONzhw1Nav/Qx2NV5a8PjMU52VhI2W1FS7UpUjPs/pzXt3KUoePNtJzStv57fhuXhy5Y1h2JrkwpGHP482ctJdcnHhz6PblScv5KXbMFz6IvG6dMDqVHPrX1tl8vL04iUvdKuffvO5eO3FYz+9bLdwM/x20xEbfy88bhpbgeLPnxrnhROjXJqPZ5f7lbGDBhX9i5uZr1InzTUzGDmQbQ1fvzzMt65AIxAOkI0/9sttluPOOYZdnYxOW42v6hAyrE6AKoiy2rlC2NIFzusRgUsgjehutEZoLG3BU2dQo4sMt2vZJibNjmvAZ7CYI/+k6kWnlWf2E1XudFIHx1r89w+tMbl5jZW2xxtLFYLkwABMBzymU3aqcYed2QobFcocz9l5L7c38DcfR6HxVoaot8dIO2WV0ynbYKyOFqFDtlMiZZw4jjqbTynqusDJYDSbHsst1NRacGHJRxOidTszsIuRbhts8suPeqw1HV4ZncNv5tY0//y7hWh846E806lwOVjxANU+Jr+fe9pkulwh8DyPxQ2PK0vQCiRYgV+aP3vVR8q4w1z2u0Tb0bZ1PoGlO/Yhjpd3jhriUMzUivzdL+5kteUxVSuadEpcmcEv2fsos0LC3B5p0Sr1VMOTL6/wzGsrtFo6HTgChkNqOIEqO/BDwIX0O7/4GUjulIthOcJ6Q3HmWmS3tSgruuG16VF0q4BXbbG50qKCZjWmUV44HvMq22MymNDiWywrrxa8q87hUmfnR/mV794HT9yXwEhOk9YCbvSslGbv2Bo//9bz7H74KErBtZfu5D/84FbOLIySHOiTVF8kG1nRcktrUs/aqkuRX8HgUJ3S+GpnQmWpypqxqhXLQsA2+NaWW5DTxyX4JE2xrgvirAHowqrPgoxLBuedMq0g5PXzS/zYu/dl7EdsF8IwZMtYkV/9ubdiDGZF8HyPS1Mr/OL/9hytdkirbc75dAsKaAaadghynNTvFno5EO1cWdTZ+nr1Wq3TtlxwkklMxJUuWvTfwggpyOiD7YvI/ii5o9PCmbfajAl2YbnNL3/qAqHWHL+4Ib6hlPpiKA2JjiZ16+jbHeEGB47uyjeDYfnZNR7y6O0tfAWffanEWr0bTEvABkzXu/3bL112ufi5Fx4bng0jD2/SK4h4V/483C5Ydk/ooi+Ot2kwej0H7G702DhsedrlusF00eCCn1c2r3661UVe+X5w9sO/wi1zV8iD58pj171NN7jlnxfy2kw3uvsxyHk8ZPVRhzC95LGyoVhv5smsW1sXz06nzMWCiIwMsa8UP7p9jVuG23xveoATy+X0gBxjJhejnFMkcXxlEmrzQiU6B+GgCqLjFvkTE2ThczXdaFXqenuEU7UtHALUyDITOrS2e/ZoF5KfhHblzi5py+vIYkcuOWwHZms+3zhTZO/8ICfny5nv6Jw8252rPLwnD68kWEM1rMO2GTQatTpKvT2J9uMOOsqrSN8zOCJA9ixtHG84vBYPLpNkDFSFzkpVjmHTmcB4c07RDD1KloOTgtRUCyF3bQWVM0vseR7TyyHlgs/UqsexaxrCnJGAHZRiteGxUIMtg3GU6vtwnBRMSv+VNZ+ZNc/aWSplHoV4IJcwK/IrSARnyE8AMO6GJFuHSVZt4jXo6oRGqHh1oUI7VGy0c9pQ8i710UGnAuNuNhTGoE/SDBYszUN3D3PnziGOnlvlhZMrBHJ7o7yb0MYteVcgV+kM+hJUMV2yvVgGIaPjkk+N1orzK2PU2z5DfoOdEysMl1pcb1UEz46ydrAnVxIb4aA9Sks+ZQ5J7WCsa8lzJwyUW3zk9lPc/vHnKA7XQcHw/nl+Qjf4N8/ez0at4LD3KpVj/J7RM5U65Frkj4pUBxqUN3VWOOvzA6x5ZdM2JDZDMJdc1C6EkdctGyufoh5z89rtUDAT28qUEl49vchGo03Rd9uEeOKp7Jm2y55MKkcnpT7/xhzKiw6n6yMoYLXe5tTFJQ7tHzXw9ixrrY52aFJcvlZjdrHeuZIolnHcRxiTMBEBtl7IwZest7hhxjKUuqJkPUsFSohN0+WEgbSDGlpNzbFzNdCalfUghSv1RepUYi8UZhvpHW5yxVFaaxuTaaVu2RzwCx+do1hu8403drNWz+yJEGUsB8CAaePTjnQbZr805+XPWCRs/rK02HlsPDbNtrVx5bfTDY+lD7yyjAu3q2yezF209Mrnkne/oVteV4/oKpcnPxetdp48mdh4usW5yrloscv0k6Yd+ez83XDeqE7myVi+5+mtWabgwwfuaPHBu9p882SBz71YyoHtam892rNr9jY2oMngofNc8DU/cdsyj92zzuLXt3BqqUTgGqA4T1MUdGqBW2uoTuAVCigPVGUCtNhKKAemGTELI64FDqu5r3glrgdlDmlFZWSFeweWeJ6Q0DiER+BKqsMhM8NRsZ0kTFkkAx4hG5lPp7K7sl7kX7w8ScXXXN/w022Z9mDVGqiXwwb71y6yUahytbqDtvJN/JLuDI2awaCO3jwDSrO2tp2l9tbOwNGpkwK/y+m3r3UgpTNVdWFHc2UcxeseMlbQCjRn5hRzqwG7Rj2CIIjQZO9zjO9ddG3PSg6tQPGNUx6vT4dAkf6Coh0qzi8oPnBbEFVP9qTU3NJRelwm0HD2OizUxG1rOhKMPeGhpE7IzKJfjsvawXWIjmy39gSEstIi3uPnyVLALx1eYrrWuTt0eqOUtQ0p02LJRDpiQu/kCoScrLHhST2J0t937xg/+6Gt/IevzPDym2sE8qQZZee3fm1ZyVUIJeOUGW+vvCSvSsCw8GnQSjGlC9TbPsN+SGlijfJQA7U2hLGroyt9dn8j7JiznKPPddkLUc8DfpPJQ9MUBptRjMIvB0y+7QrlF+9lQ7rJsVy0xlOarUOrjPttLgVDrK2VhUyE7Bx1opRm2KtR3rQOKBoLA6w1y1k2DBkrc+XV5t2YJFFWsv0uyrjySDiazKmzWsPJC8tcnl3jwK4R4+5Xe1Bm/0q7oLWm6HvcsXeMmYUNvnPkar7b4gih1vieYs+WQXyH7esWbFvWCkJOXVhgfrlh2Wer/lyul5Shyywm6mjZm4yMbRiWf5Zp0ymckSGff/yRPbR1yJ8+PcOJsxuO+haF5Vb2vD41J9zEN46ujtfREUfcLNY8jh0bpeB3jgU38yuyNdGN6H7yYKU7JWc9u+JsA2TnselwOdvyPS+/C35ecFloGWya7XJ58FzvLv5lS7kROm0ae9Wx/d6tTJ7+5NVjHGfDzCvfr+z6SbMthp1Xprvos2Hl5clYsy5lu8nJpV95tLv0u3td+57m9ttX+cBH5rne2GkNHPu1B64icWdrG0VptFPYoYZT1yuMvO5zbaXY+RbOhmMPEhL4docscGqoDo4yOjrQuXIjsOmxnmO6tCXHzOpah4+WV6S+tg1VG0CV19kyfpTBpTtYLY6IAU6MQzpdFk7b0bYdaoOvlCxnZ+nFzx0ZtVFM14oOB0rAkzRF8e+tH+HnfvTfw+oYv3bmlznNLsshE/Ky4go64N7CMsNjC6igyKmVCS7q4Y6z6qLDNYCQODLOlRjQ2LQk3+BZdMYn1ib8unCmMglCxYVFj5PXPXaPgwpD54x9B60ZL5+11gyVNP/g4QZz6/J67P6DAg5tCSha7e1GtoR5nsdK0+OVK7AU7zpyyVi2O/u6Dlc8mDLWuL+PNcyJsn6tNMzn4VLAT7x7njcvlfnyxUGmaxZcKRf7XcY7JzkEcnviRubTnXznrtV55UiNq5cbHflnBqHabQMzeKPfEPPbQdsGuOiM8zlhmTjW20XWr4yzZdsyxYkNdmxa4tS1SbGq5KIzsoE2P4mMZHt09P0JuQ4epD2PQoBHe6MEIShfJdlaa/GdvnZ9dmDsri7zicdeYs/BWb733cN87rU7CALPLUNLZsVCyIPDbQpDTcJGgeXpcWq1QsqHJvt9vq3vCa9RurFF2RaNbc+1oDGOEnUp6ceiP3qeWajx4rE5bt05khksuk6Ctie84ueJkTK/8vP30Gi5t9snbHZJHBkoUi6YNqnXN472QTuLK02OnJhjrday2qLVPo3nGCAiv4yIqY/lLWRsqK0DnqxbV1uUfbtWDFR93vueUdptzROvL3CCmmkLJHBpe8mp4y7hBgaO0lJbDTWJI/N+ctrjN77YudR0seaqyDy4ds9gp+Eo44Jpp8VxdrDz23hcsIQi5aZLOC4+XHiw4rvx5irTLY8Lns1DN576zWfjvtn6cT3bdd6rfvupbxuPS/6uPHb+PP206XTFuXDYNLvai82TTZ+Nz6WPrjz96qqLFhccM74dwrM/GCFcGeSlC64PCF3BxUfccUavifMu0j3E4S+x0e2ktwL44zfH+M/nQhYbPqF9IIu9dSY2+vLYei3wWca3UBC82ezZ8O3Ozj7eP86roe35LM7eTmtpksLWKarbTzN6bY3VwrAQV8xLTJNCoRlurrFT15jyqqwUh90Hx7hOn3SdfGoMUkW87HTzdDGnuh+u1ijuO4NXq+JfXoO6yOiUdQq/HNS5ZdvzlAaXUBtVVhZ3UiuUBE2WbPL4wfEuHfk4Ph6oKIsfbeVXmDAgX8bAXE3x9Hl41/6QkvWNZ96g0eWkVQrw0Tvl/RdkYPXc3qUVne2w6Y5FlJf1AAAgAElEQVShzndBntOps51EDVxYULw263W+b7TtU56M46zy9F/tyt+hMWKI1KkSMOSvHLjIPDobv9Tw+Xff3MTchs98XWxbjBw2g5c88xVGOKVOJAWUFSdloETzUXzxyXkeP7LIai2g1ZInnIjf5NEBV06mJRMdIp8xUWaVjQcmEr7kPfnWMJV/s1Xg6it72XffBUrjG9w5tMD31S2ESuw8MyZhYvydpHLJY8emMkMVj8X1NlPXm9YhKxb/0h5LXm1HW/C81ipx9KUD3Lp/htFb5tFo6tOjHH3qLdTrjpOvI1xbq3V27J5n4pY5Rk8voV7XZr68QStQHWiy7/BJlKdpzA3y7PwkYeilcojFIwfmkmXDzljtxW7LsVylbhjPIp9BcwzToT9ArRHwxEvTfPDhXYwNFZKJqszpzzYay0YVCordW6rOPDFhPb0CrQlDjbZyhhoC16k8An+nLBy/sMCrpxfEHY6kOpMnY4cZMSKU491oZ5gytuEk+B00yfaiYXU94DOfv0ZIyPk5uWrq6GMkLttW9uoLuKGBozQS9i/WcxoqRc3WUQ1KM7fmExgUZ6gX7yonzi6f9+5yWPLy59F/I3jz+OiXXlfoRbtTy/qAIfN1o9uGdyM8daNP5+Sxn7vht0MezF7B1mdZXsa59TsLyy6XR0+enPvFYZe7EXy2bLvpUT958qxnN5o6R/I/c6bASxd8mu2b4V9GuzpCEWE46Mo48EEpzUQpYLzUphF4rLdV6g9mvhkUdCSGOyZLGn+VpKW+qEiP+zLbaCd4rDrSOpM3UEXeWLuFd61sZseOy+zYPMPBwgpTbBMndSrRtBU0VqgqxYer3+Ld+57n2PU7+NTi36bhl005ys4pptNK9zzNtkqb20abnFspcrVW7Bx8oxCHjUQAjLuwerfPP2we5Ee//wuEjQGubWwzDzKRsrRpRjPQ3qC87Sy6XIe5nSwuHqbuV4TshWMXx+XBlu9xvUr5gDhxVqTFTnlm0Eh/MgY2Wpojlz2uLPscmIR2O3tIju2kZU5eTZxm9ymDSimaAaw0vK6HUuhUAEbwlGJuXdMKzDR7O2sj8Dg6pTg772XlK3hOnu06Mc7bt2ixD06S5shlmoxBhYwTEUKfFpsFfv/EOEEIG4Ev0mI6RRu1D+KR3WpCZ2wbVJopM7iJs8pBDowN+2yZKDI912RlNVqFdk1YuQZ+tj2Rg1cjm2wfmmQrnUGLba+1iT/iq9XyeOnyTh5u+hSqTW7be43BYw2WVuP2KOBJu6ehVPL46Lsm+YlHJpnYVODyVIM/+sp1nj+xTHIuUGY1RjCiNb7vcXB3hcmxIqcubjC/1ERbeZrNAt+7vIvmF9/JrgNTAFy7tJmnzu2j2fKz8oqeT66O8qVn72Hb2UVeP76vs9pINp/ZR3R4HCtsMHL7LDqE+rUhLtVGTdkZK16SP21Uo1Fnsm6TskKntMgnD2FJqtKuCxEn9TLK025rXju7yIkLyzx81yZigPbg0fXeAZ3asiAIcu3T5Zl1Xj41z+pGK/uNfI+glGJ6foO55YZzIS2e/FqvBzx1dJaZhbrgUcgwjosF5pJx/G4jkmz1knEGhjAiLgZEu1mrBXzm21OgodYIMete0msIwErHjccKN3mPo6vjz1hgQHPnjpDf+NszFIsBP/MvdzOz7Cprw3RZXgnb9ZtPQ//lXXTY6XGebvnyeivI0ptHkwuO02I4aHeVs+nvly6Zr5/3bvm6pbv4cOlKnlLbMPqVYy++7HrNg2mn55UjJ383uvLqSObLq9M8PK4gYbn4k8GlW672aONK03wP7twRcGhnwKlpnyPnxVadDEzXu23UhfORkBIbRutdFC168PcPL/C+t6zxT5/cwhdOj6TOhYFOOAHx6kG0tck4zEOL9wz5wgGAaHuXyKBI6U+uDXCUDzXaU8z6g2zM7IGDRxnefJlbRl7l2fX9NLxSB4ccmNSXIKizOVjl0QOvsPnBb1G4fJXidz+eDhxj+gWe7Mx5h7/JasAvHlrlJ+9d4Psnxvmtl0eZrRdEZ2VVmyvkzIZeLO/jT699Eq0Uba9owXKUidI9rTlcvshdm8+Cp5mf28IrtZ20BqOuzjU66t1Ppvmknkka4nqWEw3GPY5uejP5DAcLTl73ef5SyO5RRdHznLP6MuTN9ufl9zyf49Pwu98vcH2998y+K2y0YHqlc29f7HPY3w/NriieOq9Yypxx4Ai5MrZ0UuZ1whHlYp2UcCBtW7apEt+1DhYCPrJnhaWGzzOzgyw1xbfKRreVo/N2N6BITzFNykb/Yhtl0xnx+LOPbubj79nEH3/zGv/289M0m5aMuq4cWGm5zqQNI7YjjjqJQ3I9geShc+DIpbBC7fIYwwfmGTowz76BRY6u7RBdgbLo6MB46M5h/slP7mTvWwbwfDh8u2Z4uMDs7zc5c3UjW1bSpjp87N1e5p994hb27fb51Ndm+fTXr9Fsa5N3rVmvl/nuqf0U39wLQDv0CELPPJnSkutqq8ITrx/Efz2kFfpo+xOAHHn5fsij268yMLpB2PJZuzTJ4tKgKTvX5JW0q4aLotOyUiZ221CId0Wm2cg24morxoRCJ1ycXee7L09x94EJBpK5RxVlTyexZHw/q5Bp8Hjj/DL/8s+OMb/coOB59HNdhAxhoCkVfQZKhWQizcZx9soS335ximY7jPTS5tnlF4p0jblKnLPSbPT3rnQw02JckT538gtS5Cp2xed9D48Ras0Lr60xdb0pSI7r29YJu+3ZuN3hJgeOvTyClDjf1+gqBGXXIfddjL5z8OCKk+8uJ7pb+Tx4vfDdTL5uNNnOMDisgwXPxasrbzcZ3wi+bjKW6V06q67vvWScN0DKk6X97MLZi+du8Teil73iu+l6v895tPXz3g12PzLqBj9Pv6Hoa/7muxb5bz56nT/8iz0cOT90E7Rbhi8eKMmOFhzGOiVNoSn4IXo4RPkalXfPIRZcQ8WUaQoTfFY/l3QyKrcD6JTHMq3KZD36lnClNMLM6UfY98DjMHmdfVteZeTce7nuTZoi2ugMGlEwTZGvnbuTh7essP7qR2j4pTSfzY9cJZHpnqLsafaOb7B1MmDzpnWK/kgWjsGjiLNYs9NCz6Opytk8Me/aURZFMWyxfdPrlPaeRYc+9XP3cKk4Iu77U1k6XDTl0ZYMxJWZ7nWTl3LLxObHmtBAKeZrmm+eUjy42+PWifQglF73lMk83ba1KqVYqMGzFz1u26zZO6rRN+iYARzeAXdtCSh4WRwt7fPCZZ/nL8bbVHOCS8aG7oi2bOupzIf1nne/JphXSOTo2NbBNr/78SlOXKxw7q9KLLX8fN1x6ZVypUnHMqZBDmZEnFjVKHoehUEPv+R16tW1cqEkMsGrjv7JwaCBg+5peQP5DD9a0KJYWBzg4ku7uWP/AsP7F3jfzhmOLWyl1Yqv8jDzx/wcvm2QnfvL+CWFAkpVxYO3jXBgU6UzcOy2uhqlDQ547N7ts3lrmfHxohibRg/CkQ8CRRAWBA+CL4cctIZ2W9EmnvCM4QmBO+pnsNjm1h85g1cMaVwf4OnLW1ltF5M6zsgi8yt0JoZrX70g5QKpnLsFRx30el6vtfjmc1d59N5tvOPwVsIwEOCydietHvMbQ/t76fjd86DZDlitNfmHH7udR+7ehr7RZUc6VbxlopLewyrC2kaLrz5zmVMXV0z+XXVhXUvStU5ccjNOinbVkxUM3RMwMquVivERn1//+b20W5pf+r1zTF1rpHli3eog7m43/vpXHJX1KwgxftN8r1/2+dU/2IZSsLCurDJ5HV8/+bSVbufL81j6iXOld6M3r6folxZXvl4yyJPJX2e+XnT1yvv/duhWH6oHHXn1/v9VuBEa/v8g4xuhw50n1HDuaoXvvzLGmdns5eU3FWwD3i1E+Zpa8W+PbuKzJ8c4s1wilDN7vcpLfN2cSZkfHCuS3XBaTpGIbvgVvrTyVu4/dyveXUe558Ar3HbuTa4zkcKMB41RmaZf4S/rj/KXT74PKuPgF5K0zG/Mi1ypjcLsRoF//fIkr84M8/xsget1qw51zrMM9pULeUHS4MIR/U6GCzy85WXCygbMb+HVi+9kuTzWBXbkDMTf0HW75zJ2JuTW1DxaJc1Apn5dOByr4QGKFy57fO+cZteoT8lrJ45Wr0Mo7IMoXAdTxKHkw997oMWP36UIgjY3HDR4SmOvWSqlmF7x+MoxuLricPBdIWkbPfLGVWBf3RGnyV8jPnacuvMTh1rL4+nTg1yaK7Heyl6G3pWPzEqCiNcyEjNOYTmMnd8/feIa331tiSvXGrTaFiGuwYWBXpuPrjvjYuQZWyZhx7os7YEsI5xsBWu1Ek9N7ebWa2epbF1l232X2Hr2AFeWxbfYDhJqjZCwKdnTrDTarMezD3m2Pl5pU3DmUp1f/8NL7Bov8cyJ1c7EhSwT31cpbTDy2dYrUScut0+uTMUyNpx0uGPzdXbunAc0y5c3cebSTlqhl9CcOvECfzJAh/Q7iug5uQTezoO7bIzD7piMPkvQ7JwN6TyHoeb0pWX+4omL3HHrBGODvnE1h2tbqmsVMkWrMmXQ4CuP2/aM8MCdW25q4Aid06eDIDAHrZ7PD07P8+XvX6ZWl3Yv6fhSGUPUZpSRbMgszh8HeV2LLOPhlrFdvykgN1NxtAf1ZsiRE6sEgWZxzbbhMXxlFRQ0WF1Vt3CDh+P0gmqn6c4lsZFTmH4Ub+e9GUfYIYDcAc6N0OxKvxH6sjLINrxu9Mn8OcbLGXrR2A8Pdp7EGt4AnB+GBhfvEm4efXa8ZRB74rlRuXSD1w9+V7iRMjfaVm409JLbDwMjDa1A8ZcvDvG91wdZ2bhR2rrpiiMYttgso0PFlfUC1+oF1po3t12vW7DHDp1n0VFrK7O94tAD+PTAFqZf/wB7Dr1Oe89lPjJwlZc3GtQLlWR7qjG7GDsZKoDGIlQniG7CNmmIaYvzS5qUohUqXl2q8OqC+D7SSWM3+hHOkjLrKW/goK38UZzSmv3hKXYcfo4QhTq/n2+Fuwi9btsjVWoC8viXW7SUIz2hS+hVoprWe/xsHzJky1iAvLbu8bWT8MheuGNLmHtnWt5Jqyks9+x+TJPvaYoe+I78NnyJw36Xd7QFFHjynOKZSz7NUFmOi3SwRH0ap0nahEaOmbFFzNSD7IAr5bGTR8DNXNuR1blrGwX+8Td30ApV98kRCUN+35qn/xldspy5zEqBYnquydJKm41GKOSv3PBsfuyVFCmTLBMmbBdNMX/2amNyoE9H/qFWXLqyjbk3d7Jr60m2HJzhni3Xma0N0moLeRpyVzx9dIUfnFjl/ntHKVY9Gqshz760wpvTG1YdS0Mq5A5sNEIeP7Ik9CWiT154nsgtBuWyOzFMZdpSrU0bbdiFrD2pFAIOHT7PyOZVwmaBM5e3cGltGB1aebUm/aZU0JTp7iJ+EjmIOjHwQ+YgJ9N4pbKLyyR6pc12JYupziE5j794lR952zZ+/J278cSW+o5I8iesDAlbtsa8sxbaQUi73SIMw54wbHgdGOaEmud5rG6E/OnXz/Dm5ZVOOaHuiVg8S2a2Lde2bC3Z2QNE+a1wRsaY8BNaFJnvUo0JBM3Scpvf/NRFNDC/3BJ4LV3oCIcEoUGfNnHnhD5vApYcyEZqSw9sjm/fHvKrH13n139yjfEBW2lt42QHW7HzaHI9u2BZDcxIs+NyOriuNPSiN09Otpa46OsF39Y2u4zN243KtltcHk772S7r4sFFX16ZXnrTDU5eeTt/t/rPk20v+P3Q1Kt+esHpVrYX3F763qvd9go6+akWNGMDIQOlHnkzIUdX5MmFeWAMJweKnubvHFzktx+e5qFtG9GCks46BRKtfI47HCXixOmDGSkZjkYOe8ZAT2Xxivf1whBfmr+d4uX9UGxx4J2f4UDjKmwsQpiuNLoHOwGsz2OcOpA47jn82g6TUo7L2vvg0TCxKlOVmdNxpbOrLHwKKu0NfvGe/4QeXsVbH+TN4x9hqrozxSN1I+MzRfiNOy8FXtksMt+kxjyLMnYzCkR71Q4YdpOK5Rt2Dp554ZLH516D1WbBcI7s4+elc+R2wPK3uGqdzsrHM/PxbxiGyV8QBInzJv8k/M67x4lrHn/0gs/1NbGiEjOaPOtUxjGpnqxrSWREqGvgE0Yyk9vS43p0dQUxnG6nGmuNr2C8FDBcCDN3xRlmKOm6s851QnuMwx582EEJwEn71/zUo5v47V+8hY88PEnBx7zixQXPsHWxblt2zWXjZBuz68DOZw+m5ABGazSKK6tVjp7eTmulwsBkjbvvO82m8noKx7C1HWRnLm/wa390iX/751N88YsL/M6fXOF//exlZhdbZvtEYUwGJPWtxbtgwD6xVMpJyXjdkVUiY52m23UoZUyUl6yMb906z7sOn8ErBtTnBzhzfAeL9VJSv4ZsYxuiTBiJ/TKqzaIpU2GxDYtpVdl8tkyNBFL4yW+HBq3h4vQ6f/Tl07xxfjlpTr0O8pLP3SakTDrcMOyyNjyXDdR4fO7bZ/nSU5c63zaC6B90ti0n7w765BZY5ZBtIn+ydaCtvPZkksQv4yxYyoORwQKjAwUKvifgxG3eNqRRebmAmzf5a7PbVy4kYy6huPJ1CJscDnnsvhXe+9AilaLMY1tTHO+GNcYhwZyyOue5W7D5kQ1Ikw8zr6G64Eo+bG/B1dPYZVx0ufLZXksezS5aXTJ25e9HrnnlXO/a+nPRkgfH5tt+75fWfvRE5rVpdDTMTLDpuxGddsGy6e6nvlw6lEeLS84u2N1otXnthFJB89GHa/yb/2qBn3mokVPuBmRsmCYlOoAon6vjVeChObytzqP31Ng52sJYc7RXA0LrN8YnOxwr3fhmzD6cJXZ2pSGXgw8JL8GRhXOyeBezx94J9TL+3jP8zNj3qDYX0nz2Vr4YPoAKob4AYYDRYSY0WPljOhNnXzvUQrnL2Twl8dqRTxS2687iQYWad6gfULnnRQg8wrN38Z823kpbie/RXIcSGA40qfzlbHCcaDQLnaUlXmWyaEtxO5wBO18MO5ZvRPNKHT77aoFvnvZoBD5Kde+6XfeZ2VvE4m/kDM1QXlcHz4XHNXj1PI+pNZ8/eEFxdNpL8yQy1A45W3XhcpBVjow1lk4iDr5x6KJ0zuQ3kLZOKMXWSot/9f4ZfuXB6+wYaEnmU3ihNmHbtMkH6XzH9Ll4k3ii9EM7Bnj/OyZ4y74qnqdMD84FL7FzQjYIPAktNlKH/2APZiVPku544CX4WW8VOXZiF4sXJ1CFkDvvusK9+6co+kEET5brgAlCePXNdX7j05f4u//HSf7ln1/h4kwjNQtSXpmtf+I9Q5tky7LvxsAp+pPfwdrwMwP8WOYiLYov+QEP3XGekX2L6EBx+fVdPHl5F2GosvC0LWNb9krgjF5DG4Z419rUlVheidylzmjhptj1q4yfOL/W8OLxOT7ztTe5NFsDspNYqdjMZ9t+/D+8vXe0Jcd93/mp7nvvuy/Pe29yHgxyIAAikgAICkwgaZGURdISacoKlo99VsdBXnu99h6tvBZXjsuzOivJFlckZcqkSAoiIeaARIBIA2AGwATMYHKeNy+nG7tr/7i3+/7q19X3voF9ts6ZeX0r/ML396tfVXV1Vyf/YgvTCzXmlupE1jK/VGN6oU4UZb/BqNv6aAJpm8gGPP7Sef7wkUMsV5pCR2ULORam5w4YT7mwRQK+EW0NIPtUYg+TGErwdPxG2ETaXo69puWj46NF/s2v7eJ3f20nN+0acPt44sdG0UjESvNVf8lJV7Bw9I7q4rdR+a3fJ6dC/vx7E3z50Q0sVmUdPTAj2r0Ved4KHd1Oyqbr6E5sRFne7MqqNr1k0Bj6aPr4+fT3tU/oa/nz6iPqSl4+X8iToZf8ko+8lj7VjZ6W1ZfUINdzgeeTL09PLWuebfJsmeTJwKx11/j72unfq/FJ3d5Hy9evZfs8H9KY+/jDUClm/WiT/lLSxke3F8ZtXnLyplnLnYiETntgbFrDd4+O8J8fX8eBybK7JvNMJGXbzuTWum0S/haMxCKQssogbVwaDh2FhWdyNG0GeWzyVsLJjaws1xm76evcHpxq8dSL58wdUwtxs7N49KXcu8ACE1lPhg2fzzu6C1tm5BODqPyrZJqozfKBGx6lVKpgVgbZe+I+TphdWc6p+yRymgytlG8qXk781m2t0iPDuEeSMml/MoZzC4YvvBiw70IBa0LvnfleJxjKdyNrTcO+862FXa1hOHAp4OUzhkozyLST7X38ZAqCgOVmkUdeM3zvUEgzmQT7Jud6cpPnZ76+kIdxN19Nyn0YtxTK5AUBjAzAYMkS+g4O0jsEefK6d7byJ2h6wWxMugh+4vU5/vPXz/PcvgWiSPGQC0Xpi5mh1aODzs9cS1yEbHljbsretv8Y3lga4fjebUS1An0bF3nH244yPryi6HSZt+kiH8Ya024YSzkFxrn15UJAjxEOG9+4CLtGZ7j/zsOYQkRjrp+n917DbKU/q4MkYSGNRc4CmOxQrKdLjt09+vnFVJgpu/tSe4GzXGny3WfO8JePnWBuqUngeUWgW8zSi71qPeavnjjJI0+cYnq+yld/fJI//95RVmpxZoHoe3Rf803bEPDKG9P80V++wYlzS2rHjSzOSYrJ+mDGJz0FvTA2qm5efd94mtg1bk0txgaLrBkoUAhz/L5X0icD56Qr/I4j+D1U5rttzkwbPv9MCWNguYa3TjZpWjqo5NHwTb678etFV+b59fOnPIykXL1k6cUjL+kFRx6WXu9cJX2dJA+pu1F1esmQh4dVeTkTOS8tjXeefN3aaNm07Hn0ZL23Yt+cAL4qvHthlZe/Wh9Ybft8uZux4Tt7Bjl0sp/j070mDr0wNug71p0B1WS7oyVdxDUt/PDcEI9fsFSjACsXDYh26QQx4WNUvkcsh227jlH05YTPiLxkoanlxrRu+YnvETaCAs9Wbuf6vTez/c4zDGw6xW1bfsT+01tYKI26EyQj2qa8ACveeQxC5VpqMNUhTuvgmMqodgqr9u/B5hI3LB0D4ODg1awUB135gPQGgLBrMWrwvvVPsPPGZ8FYFo7fzFMX3818oT87KKcn5prOgThaxsT+GjMr+Gu6sh2qvrw7renl4eJ0h9aPGMOesyF/9Kzlf30o5Ib1ELcPsvG916PfadSLydiEfPsAfGVvyGwFvvhSkamVJv/7e91JWbd3HOUELt0pMCHfOmD4/J4Ck8sKV2lPH8YYF2Ofn0m8El9OP2Tvoa+HG+/EUOa5/nm5UuBf/WgdS42Ai5WCq4+jl6KT/MwbSuQCVi5kdZ4xJO83Pb1vgRf2L1CvW5rJPR7bKe/IL9rK5FvkYsXnNJL8xF9FHYm5jsXddvba9BaqZR47eDXXHTvJ2I0Xue7ekzz48o08sjhAFIWChgicTt8QMSY9WdJ2eHS7uaRjdYKt88i4dds5dmgJMtgf8PYbB9myro/DpyocPLZCrdGb/9Bgnb/5wGsMXTUNsWFyzzaeObHNxVjKqj8BIhenGhej+Ds6S7tJH8GThL76lFZD59qJVTZtZ4HzUyt88btHGRoo8qsfvoZyyaTvZPviUV5MsdZSLhWIIjh4Yo7FlQbPH7jMu27bwEB/wbkBlv9oq0uz9S/ktaOz/MHXDvDMa5M0I9s+IKmNlcZYApW8FysxkcHJyrYC+24YO3QVxgg6SbtUJGHI9gFPcwtNPvvfThIDb5zynTqM0FPZWPpJrxtvXPE7jipYOHnpSOmUbRmL+aV7K3z6HSsM9rHK5OPR69pHQ8vz/1fSI4SvDHrL52vvq99LR+nRyT/fiNaLrvHkaZ/Io9Utv5dNdR2fHL345umqZxdXmrpG4pz8bn2mWxtdLuW+Uvl9OOTxW0391cjglsex5dRMwPMnCpya6naq6hVgLAfPwHROwNSPiIojrQvG8p7NS/zdG2a5brTqckkmJ0bQXm1qmzi3lQ7QeuIhFxuKZnahYTgTl9l/7AM0L26DUp27bn2MB8f2EupT6HRbCa+NWjuPkdh5lBNKX9dLadI5qESGl5R2TjsLBss7oj38znv/Db/zwd/llvoBUUcMmB4b3Baf5VO7H6cwPkW8MsSLRx/kRbMTKxezMiUk9KJ8Ne4rdxzk4K5DmPXU78ZDYpzQ1MlCpQk/OBLy2ccCTswEBGEBuSDsdUdfXg+V4N7ttvWtzLi1A/nATsuagc6jpb0mZTIFQUDDFnjktZB/90SBEzNBywar0d8V2G2T5OXJ4rNzXniS+Xkn6Kb+26pciQwvT5c5MNtHpRnk+3JyI8Lh7fEXazuPFeYlX5mBe24e4tc+vIG7bhymII/ll482rsZmcgGF6Tw2l+ajcNCBLOGteMWCv9NvWz/3z6zn0FM30JjrpzBS4X2feIarNsx65MvHwHnvEE+9hG8exnph5dDPr1/uC/ngO9bwud/cxb//ezv5P399B/feMux9CyBtZwylMOYjW09y8z3HCYsR8+fG+LN9t7FY7yMztujh3MFYMUrspa8dGbRucszIkRvI/VZiOv74ZYotnL6wxOe+eoAvfPcI88tNgsB9OiLvKQj5G6BYMLz37s3cdvU4hTDgum2jfPyhXZQKbnzq9ZRFkhdbw94jM/zeF/fxoxfOd05RtVrfHH/K7Cwn5aixQPhVt3mDsR6cVQyRu/0pGeNO/dp9pdaw7D26xL43F1lYbuZM6QS/QJcJ/j3SWzgcR17LWYwub2m2e33MP/zoZf7JJy4wUvYtELKLzfwFVYKWb/Gif+vFka++pTc/X7KecoufLkJmXzuf3D4aUqdusvrqXylPHx3NP4++T05dN0m6Tp4+mu//aD18Oun6Pl/x6al56Xwts+xDeTbv1j96+bDP9/J4yXKfXXvp0k3nLG6F0PA3bl/hP376Mh+5ve6h082X1HX6eJdVcDjrpJoAACAASURBVLXbJ5Os5BFRcXe7YCy/eO0C//J9U9y+sYohoZEQMp02CU0nFAraqSw2lcV6ZbSdCVo6OcipJzG2+PnU5ojjBt+Jr2Hvqw9BtUw8PsMnrv4mu2tnBQ9cms51+2/chMp0+51HOrIkA5aUUSbHLEIHWablTgpiS2giGFmE4QVCIhycJD8hw0Rtmo9u+zOiG34GQczKG7fwyPkPUw3Lfv6W9uRWyYnOU76Scbsueml8fBhruom/SV29GFtWGobvHwn51z8JOTgZQuAuHvPu7usJVRxH3LsTfu6qiGLBct+uiIeuAau+xdbrxFZrLUEYslgP+carAf/hqQInZ9XiL2MHgW1ss7rmYYzwG20TVU33Qwdnnz+lwLi2W1du8m/vu8g/unWKDf3NbB9w/JTsTSorLiykC7UkOTuLag7l3EwyfODtY/zzT23l3XeMtr6iY3yLPuPS9S2k0sW2lFXwTtvlze8SGkJ2cN81lAvT9u9aI+QvT+zm9L4dxI2QsZ1TfOa+V9jev9KRCYmDcfWwic6JbB5dEzrOITi4cjo6Wz+NJK+N8WB/wM/dsoYd1wwwvK7EHbeOcOu1gwQBpI/4yYWzMQTGctOWi9zx0OuU1y8SVYvsee463nhzY+s8MivGf2dh59pdYujk+XCS+Un9WJBNbaLoJNhKPlbWR9TH7VPG5X9hqsIffO0Qf/zIIS7OVCkUOjGqJVbvdxTjOGb7xkE+8M4tbFk3yCffs5PtG4eJ2jc1fZ/18L3PHQQB9Qb8dO9FPvvFfTzx0gUqtUi4tcLDKluoPtjpFwrjBCP5LqTErRvGCBkSOTI3KZWNHb+BNSMh/+IzW/lnn97Ktdv6szyT35KuETSkL/VIV/gdxyTpSGtEvmRumV2BZw6NEoQxtabxtPF1ZJ103by/3eTR5XllebL0kn01PHV5N93ltQ7cWn6TUy9PHt9g0UvuXvTyZPHR6EbfZ9s0Oql6WX/z18uToRe9vNQLq4RWngw+rFaDfS+58pKU50p55vHr5WPd+kjrbxhYbr5mhY88fJnLCwN85fm+LnR72CVZhHmDPSJQZ/WIDRycLjHwZj8XlgpuADWdeg6dvMWjwzNRQ8kuJy/pgODKlKHp7AQoOtXOdxorhQG+N/U+7nnzOZo3HaR57T4+MfdnfP6N32SyvLHTPoVW8JYDqW0fmFNuP7ZqDMXAcsfaCtsH6zx+foipuvj+Y8atTLZLOQO1UNWCNYZXzO38wbP/Eog5VLrerefZHRqIKvzG2Le46Z3fJ+5fIVgY4av7/w6XyusEjEIOAW1HNo+cSRv5oWenjSCUl6cH50xIyOl70j6SvqJbi1rvD9ab8Fv3Wd65o4SNG+ljYb7HwABnQWmtZagY87GbLK+cC/nFm5uMliGOYm8bnZL8QqHAXK3Al1+GL+0JeXMm6MyFfNhIXTvUMlBkMVYyyENL5HVefUk8ndwpnhb3sBxjGC5FfOTeed442cfX3xzlXKXo2lUHFaPl9uXLRYyMKUbsphm3DDh+qcYzry9y4kKt45oy7ljlOE4fEmXOAkMI6Sw+JG06+VJmKacOAk7f6fw+Pz3CMy9dy8ZdlxjcPs+1973J+y+O8dWf3cpyVFRxwrq2tFoHXOyA29ZMcc9NJzl5boKfntlGJQo7usqFpaGFtTy92Xh0aLeLLSwsQxQZCkCjElNZbhvLtP8m34Vs09s8scDH73+NbbecwxRizr65gcf2XctKVMjWlwvYGLWtY4Wt3GwH43TxK8yC1lGZS9vIGcskD20DT5Bqt7XA+csrfP7RI5yZXOaffvptXLtthGazidxhzPukTxJviqHhXbdtYnquysPv3IYhIlZtdFuZCoUClZrlr548wRe+/Sb7jsxQrYvDcGxbD/mtRh10NRZ5GEsME5zSmO3x1bScztRV00hxNn56oi8PlEMevn+cqGF5/IU59vvigobIqvIMb38Kf/d3f/d3e1X67BNP0zz9QEeBROA05XkiTC0F/PRgH4+9WmZuxWCzswgPR13mjAaeOo7lRD096vrq+dppj/DVlbLququVz+t5ZK3rK/PVyxsoe7X1YdWtLep3nm18bX11fHW1HL3KetHxtc0JFD3tpXnlpbfifz6+dClbbZ/oxkfLrPl1q7saX9W/29cGbKPIqdMjPHu4xNHJYBVtc2iNAENiYEsDYlsXX8Bsp8gaXpsq8/3jIxydK9FM7sw7g6jxDKIyoBtBtxPk71l7lrftOsGfvfxO6raQHZgtrUE9FjIbIXOyYEr+GePuiNTmodH+CGZbhvlwiHPzW7h9zQGC0VnG151lY6XJmzNXsxL045wkqCfXenIY1yAsgwm4fk2dzz18gb915zy1RcOzFwc77TLfwxPy6mT9vFdMPyea2znR3EklHMi2E9APRDV+Y+AnPPjQn2DXXqZZGeKrP/5HfH/pg0SBuh/q3Wnw5Du6J7yMsG2X+r4w4PsAvC8/L4TotulOViu/ERuOzxhePhvQX4Td60KKoSaRJe7e2Y9ZP1Lkqokm9+2ylAP3ncmkvl48GtP6TqM1RY7PFvj9xwP+dE/I2cUwe7iUVNCHiRG69p6zuEn30TSf/OlKV3pZmY2F2lzAc6cHeWWqn5WmmNF3vj3gyuRj2KjCxYNCZty2cmGZDqumg48xvHFqhR88P8vrR5ep1QVvSUPfYOpo0pHLuYmmYhiizPF/09nd1AsslD5CZi1bZAPOzI8w0DDs2HWJ0miFrdunWJkZ5MTkBLENlSyyryS8bJY2cNvYZf7BP/4ON933JjfefJrwwhAHL63rPDKtFpnuUKLHSdc29XrEudka20sDhIWYRx+/zFeemGJuMfLIaxkbaPBbd+/huocPURhssHxplD/+4/dxaHI9Nm4/8oxROCXYSbsJfzGm/T6q8bTFxSU2nXeF00+KiHbOzpbQN1lMS57JYsWY7D+ptxU8LCxXIw6dnOf51y8xOtjH5vVDlEWQ8j0JIcusjRkbLnHHDROsW9Mn3NJ/Y6xDM8AScOL8Mv/pK6/zB18/yNGzizTqscDAtn3auNg4dpT6JzoKHKxxy9P6wlY+egqnvL7S4eOpL6/bIjWblpcPL7Hn8BKziV9m6Gu93L5U3D3Nv3rPB7w2SdIV7Dha8dfTwZy8TjAZ6ou5al2MMfD62ZB6UwQahyYiT9PqxtfXLq+erOtbJBlVx6efHtl8cqxWhm5tcwafXB56pJT5Plzkb2mTXjL76nazTTdePnnzsMm79i0ofIsqX/08fppXHm55v5OUp0eerbSPrcbHNa6+6yuxj0/uXj7UC28/xs3I8NNDRX52uEgUd9O92285eaJzUIbzyJHJipVMYG3rcxxbBpuMl5ocW+zjcq3QnvuJAAvpYjBd6MldMKt+p4NHp3k6mKQuaDp3ldMDXxKo2u31Y1OSdnW2tbAzOEysCXm5cisje3+FXyj/CeWJS7zt1h/ySyujfHnqF5kPh9u0TSqGA7vEJ45aj632TxDFhsVqkaVqk0pDTJ7l7mvezq6PB7h4YTvvJWpa6WITis0mD7GP+9/+dezG85iVYV557Df4ycWP0egruTgmk/jU/dSkPRXCdC5J9Gn7USq0wkb+Tn7I6oGQ3ae/HNp8k1nfnWk1UWrEsP9SwL/4HrxyLuaXbityw/qYwUKEMZ1vLaZmMNmj6ocKNR6+pkU3jvPrJhO1IAiICJlcDnnqeMCX9rS+M9lMd8ry4mmimwA/tUWiv9RZ9glBU/bz1NdMFuOO4KS21HWt4oewQztvph7yudfWYW1rse7wcd4zFBOwdPdQ2TCVR+qf1CX78pA8kAPYMFFk45oS56frnLlU69grkd3pT25bJ8ldFJTM8uPxsn63T/pIu8nY6du9BFaqJb724tsYGV3igQ/tY2DtMn/rF55jYWWQnx3eQbMRZm2Y6JjKm/Al5XnP248xvmmeQrnJQN8i9995hG8cvL7zyQt9Mqa+8aD9QcgcYzh0YoVP/cf9nfaO73SwGOmr8ys3nuTav3GQQn+d6qUhnvjS+9g/tZE4EhjrtjqOaozlmCEDi7NjRnY8CkR+Evsdcwq7yd14hUF2PBd9KqWT9NsWzXo95pU3Zvjt//sF3n/PZn7pfVdx6zUTDA+ETkjTj9cnf8MABvpCJ68lmvsofusUV0Mzspy9XOVHz5/lqz8+xt4jM0RR3JIpaMuaYBDY9gIb4RvSJhJjqaewUdJvff1b7xo7uKaaiP4osJUxI5FbY5zKb1lYbvJfvnURaC0g07rSv+X45/Ck059Wkd7CqaoJcYOjSFrHHSVv3Bzzz/7WNGEx4u/9Xxu5uKCfKdG0fSOs5qsDm8eZM+Wr0SdPLlcnf33fqKX5+vTUbWW7XvR0fR3Ye+Hi46Xp6HzrkcOHk5Y5DzOfvHmyajo6T9tJy+/Dr1fbvDxN02ejPP/J4y/b9fLh/D7nprx+4qujafrKfHR7yaXLWikMLLdtj7hpS8zhiwHPHwtFvSvB2LaCYDo5sELVdt1ksZc26wTTYmD59ZtmuP/6Jf7DT9fz7WMjre+1Z6AS9FMxxCDjuIntdBU5kFiFj01kaxPQu516kZO0r8xBXG3RcSZpLTJRUOTZ6QeYeHqB977vTzGjC9x98w+oPnM9X27eRi0sd2g6u0DJoC8nNTFUpjkRjvOvn1rHhoEmL0+Kk85y7hinMsmByllFC/ycMuVrYrANbcT1tSN86I4vUbr2FWwUsPjyu/jx+b/JfGlYLHgFfgmNvJ2eRGcdn536iq6UTS5uEzKalz7FNg2L1rWfj0dC1Kj6AuPZasCXXzG8ej7mQzfAB6417BqP6Q8jjMkuHjtN/Sev6t9B0PpERzMOmK8aXjkX8FevBzx5LOD8YkDk08fBWPz2PRaV6B2YLA1L798Jb29ckn3IdPqmr395FgIjxZiP7lhgrhby9KVBZuuhW8djD9fGuL+9mJA9rEJ3FeATD67jYz83wVd+PMnnv3WJWl19S8A7ZAqMtZ54bKUXFXmLT4em+pvSVv1cpEqlxNcfv4M1wyu87d1vMLBxkU/+3B5qi328dH6ju3jUssmbgmJROX1uPY35MmHfEtFSHydPbuiE3BTjJI4jvu2q1cixbR7Gic7GMFBscP+uk9z8oecoja5QnxvghSdv5ptnN9CMQndozFvge6+1n6m4I2Xz3YRKdtfS9pKkIXNQi6bl5a3aab5t37bA5GyVr//kJC+/Mc1779rMe+7axI07x1g7Vm4feBN7dxF9B+AkKVksxhaWKxFnJ5fZc3CKv376NHsOTDGzUGvfH/XYLclPb94KmSVGUjdZnvyV/dZ59JkcjKVtMxfiWsaMbhi3fgz0B3z47nFi4LlDC5ybrAsaSn95U85hm+fcbnqL7zjm9hyUNgQBbC1aykXdrJuAItjkDQTeyKrreoJX15QTrXvS13y6yeor09c+XjJP65GHZR5Oq5Vhtfj7aHm9Ul376vhspmWU8sm8bv6g6eTJ5+O1Gl/16dAtrxedbnXybLTa8m7+Iq9X62e9aPjtWQjh/fcu8JsfmeYr39zM88cG8SdvxFdZQt50FyJhKSaKmTatv0NBwE766Tftz3H42iVqJAdCZHT00UacLKknT0bwQE1kTI4rmdY7jXFNQGndD8y3T3dcKQzxg7kP8dCz0xQe/DrNrWd5572fZ/Dp3+JP67tZKg7jLK4y/BI9DZiY+tIML0UTYPrw3mlPBh5pCgsmIN0ATuUFV2Y9UfIMYn1RjeuXj/P37/rPbLzrpxBG2EM38/8c+FX2Fta27Gbbo7W2dXKARcpfyy3+ygM/5AQ1T85kgtBtMSF90hk2hC9pTOViKo+OAHulYXjxTMiBSwHfPxzzgWsND+w0XLPOMNoXEwYxNm4J2+1I/CS/88iXoRYZLi0Z9p2HHx8JeeJYwIXFgLr87KfH/pkk7ar9J/Bh3KneObW0S/zSPpwsFuTNJGdimLOoEnKu7W/yOx+7xJun+zjyw77WwlHKr/ufl5aQKZlJJzHLWVha4VfS91pylkLDeBjQn3mqwqOPr0zenMlb8Gr5MvXEX6mTE3dVH/I5v4VLS8N8+4d3sG10kfE7zrLhlgv8cuVFik+9nRdObqHezPksUBrv2/GrfcPtJ8e2cf033sXmWw9x+eRmHt13E5ENOvLFdA7WCVryGJIPzgs59Y6jD8cM1jBQavDunSf42MdeZHzXNFG1yGvPXs03n7+ZuaV+MW7gwVjhpJ8IMUm+xxbYdOfJuUEhd61k29S/rSuLHK4zMRAZxLVgnesEY2dcaf2uN2MOnZjj5IVFvv30aW6/di0P3L6e269by7YNQwwPhJRLAUHbl3w9PRkyo6ZlqRoxPV/jyKk5nj9wmedem+TI2QVmF+vEcdwikOwo+vSRO9BJrEj1xLVzHoZy9176qVHYOP0cVznd96yQOamc2tLjexjWDBf47V/dSrMRM/1HDc5N1gRPLbfGQvX5HukKF46SoHYao8pa6cC5kN/6r2sxwOySDh76GpXXrc5qynz5vvoJHd+15tWNvuxMmp8uy5NXRuW8errcJ0c3+fRvrZ+WX177ZMzDv1vyjj5dZNPySD55GPfqBHl6+uTwXcu2mldeYJXJZwsfDd9vbQefb3cr76Zvkq/93Kezbqdp5dkM4hjmLgxy6ZUSpycLOfTzMPDIb3EfHcuII9qKKg0Df/j6KF87GvHmfEk0T+qKgJ3SETwtON+8SiYl7W2Yzjv3on0SpAPTqpd8OkROXpKdzfSRI9tZNMqULDAyGBjmi0P82/M/z2+/dIaht79AvOMwt/d9lr/7ws/zjfn3cr64ic5CWfIiK0sQQ2Wm9Z1HApzJVNJe/A2xXD9W48bxOgdnSxye66Pp4CD45NFql6+JFvmA2ccHH/wSo7c+D8DK0Rv44tP/gL2FG4iDsINVajOBp3Sbbt1Ey6MX/XrSKCfIycTZt2MoB+70vVXb4aEXAXJx7duBk0mUxRYWa4bnT4W8ci7kv62JefumiHu2h1y7ocim4SYT5Yi+oqEQGMKgdXO3JU7rAJBmDI0IlutwabnAqRl4/ULMS2dDXrsYMFMJWo9IGo8OcmLkSxpj345r5q+2Cdk8jbG0TbK4SGSVO7veg1FcjGtRyBv7Jzg2D8vy/UbpI0l9vdB3dBZySUdMcEwWifKRVbnQAf7iqcv89MA8Zy/VaUQeoPWiVdpH3whJYopeYKSYQzqBdXjQ+QZcootDQ+SlZeDE0LbeFnhtdh1/8eN7+KXROhPXTLL1HSf5tbFlRn5wBz998yqW6iVsuguqx8B2ass41yjy+3tuwLx8PTZuPV6a1pUL/DaZwXLIndcPMTZU5PnDC1y8XHdxzCwcVBmAtQQBbBha5tPXneO2jz/J4MYlolrA8eeu5i9/eDdnl0ZbN230AtF2sHCDkhjj0oVPYkdljzT+iDoyH1yf0n1EwuqIkNM/JQ2jZLYJH03X9bdKLebkxWVOXVrme8+dZeemQXZtGea6bSPs2jzExrX9rF9TYv1QkfKgpVS09IUxs/Nw4EyTmcUaZyeXOHZ2ieNnFzl6boHp+TpxbIV6bRnkKafeRbDS3Ydh3g0ZLya4dvXeYBXJKTd+O8i/8gYzkNwQrdVjju5foh5b5irNDi3ZNo2B0i7Cf7wCZtMVLhwlsnIkzvsL1Ybh7GyAMa1DKLL18vJ8fDOIK5my/P30dVtZT7bL46Xz9V9NV9PzyaLr+3jn4dOt3Kdvni7d8nICdkYGXd9nyzyMZV6eD3Qry8P6Sujn2W8116vRx+ef5OT1kk/Wy8tfzbWPhs9H8ny4V1/x971mDF97ucgPDxWYX1mN3eVvjy56x8L3+E8yuRSB11q4XCuwHAUsNsLWAO/b/ZCTUKmrs6tg0uzMBNLgvhvpe3woI6/Qw0J6rnqeblLudp3T4Sa+ePRTfMr2M/G2Z4k2X+C2d32D0t7L/NWpT3KsvBUrtwXTiV5CCzonw0ZQm4G+9mmrAgZ3eLCM9kX89m2L3H/dEt/c38+/f3kdM/XQE5qN6/5Kv/HGLL8+/igP3vUI0c5j2Chk/o238c0X/jbPcy9NU+hgm5E9oZ0X87L8MoO8731WiY2ckFhVN0nS5vKD9Skfj6+kA7/CJ7l2FgWISVurqNaEN6cDjk0bfnIM1g1aNo+EbB0N2DAEYwMw3Ael0Kb3L1bqMF+BqZWAi4twZtZwcckwtVKg0qBzk0HKqK9Rskp5jXHrypsiPoxTkp5+6LxT3MYh2UFIFjES18BkZZb0faEvtlyqhPyjn41Sjw2XKoWsrtImee+1alycRqbjOyD6OjiLMwsz800ajZiF5Vht5Kl4YNttjcJUjxmZhbqmJdrI9ulkvEtfaMvs8NGq0zql9GdntlD+3j38wkN7WHPDJKM3XuQTA8+z7nt1fnr4ak4sDbQ+X+HE9kQ848gcWQPJTrjUS9/wAXZvKfM7n9nGxEiZz33zDH/2vcksnr6wIW5CBiFcs36aj9/5Orc8dIjS+AqNxT6OPL+b7/7oHRxfHqb1hRvJX2AkAUn1kbKL/Mxc0Qp58F8b03kXTt7glDby3UDxXufwSUWSfqzwz+DXjlONiOPn55lZnOXMKcOOsSI374zZuRXYWmBkU404hvqiYc/LZf7wqRJLlQaLlSbVWtR6f9GXNLyIGJzIauhgIHXAZq+7YZzqrnER/ShvsdkN46SSzAo0xq2LuYUm/9tXz7TmM7MN1d9kP1e/9U0fn11VeguH48hoKwOR9ozW76vXR/zjd9cph5Z/+EiZ6aVA1dc0cjpGZvLZi4au55s4OJHXw7MX3Tw5rMr38fPp4avXTabk2jdSaXl9WHX7rf/68lbTVuvnG1G71cNTT+f1wk/TXy1tLa/PP/OSz06ov3kY+2TphpnPj/N00PS6+aHm00umJG+1fdAyUGxNYBtNnw55GHr8T9891MFRBndsJz+2FArwqd2L3Lsh4vOHBnjyfL975Le+K5e8j5jSa/NPHx9rt2sPximlZIDOjAsC4wzMQn5L6/MY1RmIG4pvjr7WEgUFXrXX0Tj6aT4+s4MdD/4F0cQMN7zzh3xmoMKPD/8qzxY3d3btfAdIyAEujtxPdfjqGYMxEJomo0MNhsPBDgZq8tbCVAymYpDdtHKJv7P169x739dorJvENEpEe+7hy/s/wwv2TpaLA2QGO70Is3TqJAOllFnn6bZy8p3YKBlok8msHph77Zrp33jaOHhJP0/kkG313w7fGMP0CkyvGN6cDigGllIIxRAKAQTGpipFQCMy1CNoNKBpDbFk4kw2NMbS/qrMd2feuRb09I6AbwKblkkiSd8mW19iLPlIvDTGbTqhsawpNalEAVPVQuebeFqWRAR5A8MXe/UOQwqB0sfxyRamH37nGB+6ZQ3f3jPLN56eptFUbR2yQqYMPXD9U+qg42VbJrn7qHHVumQW/h7+FpKFcbVa4LHDu2islPjFuf2M33OU4V0zvP9vvsi2J+f58stv49TMaEssb180rhvEQlbfzbh2ZQMUSwFjwwGFgsfHTDKeSZklTcMtE+f55Ptf4Zo7T1AcqVGb7efVp67lr5+5jcOzozSjoCOnjPEZDI172Q1j6cO+w4wS+rJfye9NSv/zyeOLmU4sVDx9dk4X7IJP26/CAqwdi9k80GRHf8j1W1cY39JkfCJi7YRlKIypzhkuni7y5OsFpiowORdy9HjE0XOeJ24kJskP76sJSZ7QVz4SrBVK41kXjOUNK0OWnuyLPptmYmr7byD0SH/7MG5dB4FhZLh1Y3ZusaniqGijfStvIdslvcXDcXSeDI5uvfXDMW+7e4pCqUH50Z2qvo9ur9+9ZNOjkm6f9vwudaRs+bpleet2etDQcubR9dWT8ubx1nx88mue3fDVsnVrq3X2yYjK17rl8fXRymvro7Man+omp/4r5etmWx9tH36rwUvz9NXz+VSevbr1DZl8dFbjP3kYd9qWQvjb71zg7z80xx89tp5/971+VS9PLg9v3yRa5uvJQ5ICQ2hibt28xAN3LvPdS+sxF/tbM+jcUwRVIHYmLqZzNz6yriyQ8zkCGeDFtX5vKmnWP9E66TRuZBeimYVHqzAKS7weXMWlqTW8/3v9vOvdX4P1l9h610/4lfEzbH7tI/yo/m7mgkH35X456KVd3JLuPJbHwYSdeomMsWW+HvL7e8f52rEhTiyWWKi3J1ByIeXstnag7Y8r3B8f5uPXP8q6e/+aeGiRaGmU+Gcf5fdPfIL9hataO43pRMD4w7rjOsbNSycFuh4KU9dcjg7pI2TtAmk3jYnEEUFDy4LCxGnnYuxOBhTtpI6wZxRDFBuqyY5MGrIVT2f3NqGvMJY46fIM/kp32VbmS3qy78qJslyUJHw1VppGQts3aZP2knYwrfKN/Q2+8sHL7L9c4J8/u5ZjS31t28s4pGyhMXHOsFF9NBFOY+XsZLSub9o6yAPvGufgTI3wZzM0ksW8qtc5tMQozK3L3yrZNU5y8ZS8PydvtOTdsNGLUr0YTXcMO/yrlQJPnNjOudlhPjI9wK3vPUB50zw3//w+fnv7FF/64V0cOr+RSrPg8vbFPGlLvbsmZD1yrsr//F9OsmYw5LWjy91lT2NF69HUseEKH918jrsefol1N14kLMVUpgZ5/q/fztdeu5Gp+cHW+5UZ+xhXtgwmCk+ffbWtfHWkzto3MgNTDn3Tjb+IEZ46JjAUgphSENBXjJlY2+SqtRE3DRa4edcCQxsi+oYsxWGLKVoWzoRMHy/xyHN9nK/D7ErI9GzA9GxAPYbYGuJY8Pao4OqCsp/QXcekzA0lj291w9ixW5tPL5v4MHbyxHUSQ5IdY49dx0ZL/Idf20kzsnz2q2d59vUFD/82XXnyrWNjjyye9BbecTSe6/yyo5Mhf/i19QQBLFRUoO05kdWpV7mso+XJ46Et1C2tRn850naT23ja+NJq6+XxMupvL6fQNtI88yW9TAAAIABJREFUtc46rxueq5Ffy9oNF19yZk9daFxpfh7vPNv2ku2/J2m9fH978eold54f+cq69R+f73auayXL7FBMsdSNxyoxy+smab6erLVSMzb85Ruj7D3Xz74LA62j243wfd+d4YSe/M5iIqocgDLsTEce5y6f+G1EPd+gBe7iUd9xl/qqT4RM9o3zrerDzD89zAdvf4TyrsOE1x3gQ+vPcecrp/iLmQc4XNnd2cnT+Dq/2zuPyWOrTvgzNC0cnu/j8EJfTqhIZOvI3xfVuCE4xX2jP+Hhu79Fc8s5KDaoTW3giSc/w3cvfpRz5fWtA4ck1nly6jrJxC1WmOW184Uz6ynL6KToan/sFn7yklV/jRQyh5fjFzbrc+DeKAB3QZosjLvppLu1Ptm2F8Y6P0l651vqlCcDZPuDLl9tsq2GxliWR2rEi51XaD1Cuf0VVS/9VpynfXrDyAqdVL9vp++/Msu5yRqvHFui2RSrUb3wX22Ilp9eSGVJ9LGeOGo69WTM8i5EsllOWTJxFXwbzYBD02NMPX4XH6+Wue89r1Net8iWd57gt7fO8OLTN/K9fddzen6UelO/fIk61VJMhgGcV6VaMlcqES/uXxT1fTHbTYPlOrdvvsBDd77BDXedpLR2CTBcOLaWFx+5m2+c2s3ycimLn9RbyuHDOLWD8GXHnz32SXTo1q8S38qLbdnKnUqaf8rPpLWHBmLWFC0bhiLWbIjYubnONcMhN25fZmAiJqoZZhshc1iOnysyuzdk7+kBjq1YVuoBKxXDSsXQaCg9XfBa18ajh9Ylg63QxbEFZGOGsI+u3w3jvHlIXleRi1m5qE/nAW2M82JxOwXGEgyHBI2YUN/E0kIkfiAVNN4G3vQWTlXVo0De6NFKZ2YC/uLFEgC1hq9OOtPIofvfk7R8eSN2rwjnq6M9I69et3SlbXzeqFOv8ivFtVd9X8/wjVq+0aybzX29b7W6d/PLXv52pfTz6rzV5NP3Sn1Wlnfrc29F1jxZfH2re1RvRPCd50bYf2SIMzO+z/T8D8bZu0NoaWL4yblhnjCWRmza80WTbZe0TSaJRv2VMondw05zVZ73SEgyHzSicTKAylhfHm8dVmMbDr/Me46Iv8awVBrhxyvvZunlCT4x9wP6b/8x8fgsax/4Br9x7kX2n7mH5089wAFzDfWC+GxH6jKJDgDtxWN/e+cxNbkaiLRbyGQMQRRxdfM0D298nNt3PsXY1QdoDi+BsZiju/n6vl/n8UvvZb68BisX65lJr8LUwwtL9/fpZBvnO3x59rK9D7HxTeB018CTp7tORl/8ocvXPfROsm8oT+zrk03LJP9KXoEH4zwdHLo5GBtau/epniarg2/Cl7TtlnwLfVcoLq0U+V++tYmlRsCF9B1H8jHW81wd0nxyrXLIfPbVBV7cv0CzaWnGvgYoW6o6Tp4vXqP8XYDjDPWizKeTfHRP+qe2l2enLY4Nk0tDfOX521ieH+DnHnqN4WsuM7BzjvsmXmb79RfYd3AHL+65gWOVfqJI9F39vUKpphdjldnFX/qKDW7dMMkddx7j3puPM7BtjrCviY0Cju7dwTd/+Hb2ndxKtSGn1cq5knHCt/DLu0a2Efolcd3iOQBGEDLSQNYh6VzL8UYm6UtWNoChActVYzHXTDRYv7POhs1NNgxadk00GFoXUbkUcPJCH89dLnHhQMji+QInLpU4V4HlekCzCY2GoRnh+kSuHYRRU/c1OJimGAu50+YSH+XvzgIVdzxxioyoK/lDZ+En+obXD+U8QEKq7CMfkc3bCWzbbHYh4vc+fxprLYfOrGT5636vb0w5eHZPb/EdR+1FOip2yreNWx68vkEQwF/uKbFUNWSR1EbwCe7j6Qt8Prlk8vHOGwm68dL0c6N1Do9eeb7UTVafTKuh06tOt7rdcPNFwdXQ0vW6RlPVpls9H71evK+ERjfeumy1OOgRd7VyXgnd/1HpSjBvyR5bw8nLAedmg9bAkal7hTg7cIlJaHqnzqpDSVp1CoHlPZuX2DVS56mLQxyc7Wt5k/d0TNS7BghTiLrehYgcEEVd54PLSnZHP6N4GhgQO4+ZJHxEta0W+3mqcQfHD+/mwdmdvPuWR2H9JP1XHeWuLae47sbHmD56F08e/CivlTaxbAZpBoUOHSfURi0Z+ifAhK7+YgyVCzRjLcbG9MdVNtbP85mNP2LL3T9g3fg54oEVYmMxC2t4ac/7+M6ZX+Zg/RoafcWsivJRUbnL5eAm4HB+J/KYVpl6rDOlael8B1RPagzuoSsZmyueGezo+KbGDVUvc2Kn0lM/uiqrWVUnL0Trg4Bk+5ROMvEgW08nvestZdQ6pt8zJTsN0I80a71kft7QKnf2NAaWrM3aRKtNeHay9SRCLflWrH7M2pfypiH68ceksoOHwdlRaad33jrMTTsG2ffmEi8cWGofDJLQyuGX4iAA6zY895pmpH5rSD98rvu4nDinnxbIkS0jCFhrmJ0f4Osv38SLFzbzyXfs4/oH3qA0VGPXHSfZdtM53nnfYU6/uI3vH7iON6fHqNULxDZoHaKDsJMU3NEt8QUNSFsaA2EQU+5vcv2aST78wEG2v+00IxPLBH1NiAIql4b4/tfu5/ET27k0P0TUDNqn4OLHWGKo+7kuTwqMyHQeX21XChAH39DxZeMQautvsvmp/rbjJ21/MsYQBFAIoRjG9JUsN22OuGtdg6turjKxu8FgaBkoWIoly+K5Am8c6ue/7uvjwPkiK7MBiysBiw1DtW6wGGxs212xzccK5ZMnfVJcjOuT6YJZ9o/E14ROyaOYPmzlGOzt86J/Sowt6t1ZUT+DschLT7RVncu7aKPTZ0yCjcJD/k7oGEOtEbPnjdbuefp9V+nrEg+jaDix1AuKk97iqaqaW14PMVyzock//fR5Cn0NfrL/6vbCEdWuRwD28uoWhXyjdB49Xzufx/lG824RV9PRNGV9jYOPj5xlmJwyn97dZPa1QeXn6aPz8uzZLV/maXl12zz+Wu68/Lw2Gg+fLL1mKL3kyvPZvJHax0fT6yVTHi3NW6fV2CWPTzf9s3SLIXz07iofuK3Kk68O8OfP9nXhr2Xx8JaDZpLkEejOaaadZkVj+eWbZnn4rkX+2aObeGO6RGRMZ7GQTMzkiYkgBpNkcFH6p2Ogwi69S9ymJ3dT5MQ5970Ixac83nrfMJKPrSb1LYRi0LAdurEJOGUm+PPLn+bZ77yLT97yFTZtfZ2hiYsMr73I8Npv8yu3/4jCqav44evv4XB8LQvVDVyya6gHRSITEJsAm0wMkwNzCDu8Ytt6hIaYII4oxk3W2znGBybZEp7kN3Y8ReO2ZwmHFsBY4maBcGYtF8/czGsv/SZf4EYqlFs6kNUhxct3om5iN1TbpFwuNA2d34ltvH7U5qkXRJm/wg5G+J1cNDmLRZWfV88bJtuZcpKVfOIloZF2G+NfHKY+bVzZMa5/S9liScBjH8lP66kX6RrjpF8ZQdv3SHaqf7tet10DaQ/9GK1vMdfGbEN/k//jvkucXyjyJwfGOVcpdnDRu5s+eig7GJPl5+BKZ6KZ9OF22d+4c4Jf+cUN/PEjF3jl8BJRnNQxTr0WP0O6YxGIPIkPtjMZdkKroJdgKheKqYzCzt4FsWCln+LQvm6Erm05VppFDp5ez++dfS/3v7ibj3x4Hxt2TFEeW2bj1RfYsPsCty2/yvmXdvDUq9dyamWI+ckRLi6ViQiIbUAcG+Lk0yVpLDUpxgZLEMQEYStO9ZuYtWuWGVu3yNvHJrnzrjcZvfEShUIM1hI1CiyeHuPkq9t49KVbeP3MBppxG2DnJqDrR6nt9Zgl/SXB1fEdhafGMhnbpJ9L8C103o3ztW99kif5NE8xjFk7ELNmJGZoLGL7RMSdayJ2X1VjzdUN4oZhcSlkoQJTbxZ54eAAr14OOXA5YGY2xFpDbOl8FzMZkw1k3rvVN1iN0jdZWCbjYYJLYFp+m+Cr4MkcZmMcJmLcEDjppDE2Sm5ZL7PDLutK+kKOPHtIGnKuI8f/tHqnv4yPFviXn9lGZC1f/uEkrx9d6dB0vk+5Cox7pCs8HEcaI/UEdS0UAiYXA555YYRiIaJS7+Rn6fRKzujnkQeydCzdk1F1JL08fTVN3UbTl3L4ZM6TN08OydPjjF3bdSvT8mu8fVj42uXp4Ut5svlSN9yyftedXi/dfXV8dHrZM49HNz/JwzJPvl5y+vzXF2nzeHWTuRet7vqHgeWWnct8/MEppma2An1d+OTJIspl8NaDqJ7AiipRDK+cH6DvFcPZmVLr/TlwJ6rez3Mkaoqgm4oleDhtrJsnaWe6tSF9hEbvRFlIP2xuDJQnYHkKaHYmknJhKyd0atEQm5Cj/Tv43OF/wu1vHOGubc9w4/Y9lDZegIFl7HUHef91h3h4eozZ09dwcGkbS4ubiJcnuLi0lVONEapBgDWGqDIJ5XFKNsZgKWDZySI7R05TGJ6kPHyeGwZOs337YaIt54nCJgEBptJPcHkjZ0/czcGzd/JXC/dyobiuZQvnzqyeJGXdwN1tdnUVBhLlYvKb5Ek66QJG2NgJOda1p+Tr+Jpx6zqLXPz5zqLSnVSnNzWkMM5w5vMbS8+dMtl3ZH3Zr+SjyL5hwio6jvy2c9NEnlAs5U6aJ/LrRZozwTHZCaCzm+zrlwqDDPYpI4ZKER+7fYkDp/v46pujsCJ2vn22T+gYMqo55QlGDg2r/A/kjsz+00v86Okih48vEyWP9xk6F1YIkraV/uWZiKbfiWyXp/IIjOTNK5PEFulftlNH45GWQ8Y+Wv9UBzc144CnTu7i2Be2cOc1p7n3xlNsveUExTUVSkM1drz7CL9y/zGqlwaZO76OfVPjLMyPsDI9wOylUc4sDtCktdZoRRxLaFunCU8UYzaMLTK8YYGBsWXWDS5z/abLjO6+TGmsigksNjY0F/uonB/mtSNb2bvvKvac28RSrQ8rcZf9NUkW0oVM3uI6xdkK3BLfVX4vy4wR/uGj7R+jwwDK5ZhyyVIuWLYMWHZvbDC6qcnE+oidBcvm0Qbl8ZhmI+DcZJHXpgpcOFBm6lQfJ2cLnKzA5elA6S/kTPuUx6DST1PdhY+RiK38K0PXuPRSFzedRbhcLKV029f6cKg8++iTTX191jGVlE3xR/zU44jEIv2t5ROkhKzlvoCH7hqlWbf84LnZVnn6vVUPxhIrjXGP9BZ2HJ2RCeEp6rpV/8jFgN97dAwDzDmH4+C5lnScqCPqdavfvbP46/vq9JIN9df2qO+r003ebobztfPpor1SpzwaOi+PTzedUXVWK5Ns75PRV9eX77ON/N1LBklD8sn09C60uvUNny/7+0++HaScPjk09ppnN3/0JV/5avpHXl1oRvCz14YIqgWeOVrK4bMajD0DbMpW5evJOoYGAX9+ZA2PHB9hthY6ByCmfKxomyT96GDyqJ2G2Ddx7aqP1kEOYGIQiVX9wbXiwBxBM29Cp3SoFPp5zt7CwdO7ue7yfbyttI8Ht+8j2nqaaGKKaGKa0YkZ7rV7CJcHMSsDLKyMMt0s0wSIQ+zSGrAFhjYvERRjQgPjQY21A3PYoSWiwUVMMSICbAzh7AThmS28ePheXqneyZGVWzkRDLceS3WGmpxJWeL+VtXJC6W+sCQXl+owoc5iGzXIkk1yAiG7qtz99Nnf+4mWtrB6kmBUO2eHmk653h1P6jh9ARe3dOdS0pO+55FF5jm8JI6KVu6iTQgm9XGwSTAUbaz4l04OVZ9fjc0E+1QfY5itF/ijJ8e5sFxgulpw9ckLx6g6yU2rrkO79A89ibNg4K9/Nsvje+dZXIpoRoJYanvZz23H5qkfivx04ZbILXimvmCzWHrjoSfuy9ib9iXUbxGT0qbih1go2SjgzHIf51+/mn1Ht3H16zu4e8s5dt94nsEdcxRHqwxsXaB/yzwbGiHN5T7i5RKVxTKzjSIREDVCqgv9hMUmpaEqYQCDIQyVq5SGKhQGG4QDDQhiDIa4EVCbHGTp1ARH9l/HM2fHOHJhgplqf+tJi1Qn6+rkLJQt7onDwg4SY+cGkvXHC6fPJlgleCpsU3NYjIHR4Zg1wzFDoWVTCe7YUWNsW5OxrQ1GAxhu+2ijZth/aoA9p0LOXi5y+WKBmaUCs5FlYbn1XqKbEj302EpHh1RvHzbS9qJut+kEQj+Hn2wj5LI+nKRMHh7yZkjSNhVT9TGnrylfkDdFEn3THb620Drm6sWblUIL/UX54nLEf/3uJSILpy7VBF3V9yTGbzG9hcNxMhb05HV+95cs28ZiAgPTSyFR5oVu3V5f+yzaTRZJ2ztydqHdi18eD82nl155ZZqer9f45PXx7IVNL7parjystPNJmfJ0tupalmd6b5d2veykfUD+7mZrX7kvL0+WbvSv1C7Jb5/smmaez/jk03W0PXw+6aO3Gt2dSJ3+bcaGJ4/08dzxPurpYNTN93VSOHQzJbgBWSz4jIF15SYTfRGNOGC5IR4uTQKvQ7M9IPge60smEOkjrmA0Vpl31QRN/dtnZvkBeTkYY1rvGa60dx4T5ZIBTT62mxBTCwwbBMyVhnghupV9Kzfw3YMfZPfeU3xs7asMbDyK2XSe4trL2GKVeKzCwMRlBsJY6BaCtQTFmKHRgEIhwEaGKA4xcQi1Mo2La4kubqF5ehdPXryfZ8x2zha2UjEl4oL4LqQ0kINVzrV+9DHBMVEw856cB+NuvHVok06SPj4lBJMLpcQGPjo6aV/whXmsOkFSl2s98PtSIp/8K+n42snQb+hgLP06dXnb0V/T9E7WcmQ2gr7FvU5oJN+p0xOibhjrRase0iLLTK3Af3ptgig2VKIu/uLDSsqfyVM6y76Z42fjowU2j/dxNqiysBSJzaZ2G/n4aAYDFa8MbR9q80wXLIb0fTnZRk+AAWdynb7/1WVsdnaMUN+/E9dyMZLGbCA2RJHhxHI/pw9cw7OHd7Fh/yL3Dc5w47UnGNo6z5pt8/RPLFHor2OG6pQ3LTAe2E6YjIO2fnFbDIONDXFkIDY0l0osTQ6xcHaMpVNjvHB6Iy9ObmZhaYBqFLQx12OPyf51JutCubSpwli2t/JaxQNNX7AMQ0toLAVjGF8TsWl9k/V9ERvKAXdtqbJmW5Oh9RFhv6U2FbA8E7B0pMDPzg9xZLnJucUC584XqNYNTSzNZtB+KKDtXAa8B7YYXD/R+qS7fwkcsj8k46aAKgEpNp13RlMohc9lbsoq39MySX8XbLw+q2OwK0Q7ViT9znboyHc2UVgZoavcMU5l0KIoLH03yNs+tLQc8f9+5xLWQrWWvPvcKW/xk/K0sdUY53Rdmd7CwlEmMSjncLxxU8y//uQ8paLlk58b5+KC5wjlXLoJTav++vjrcmdkFDJq+pCVPzf658jm46Hp+kZt2+XaJ2veiNVLVt8oYvHj5pPTh5+ml+T3omXFX+0vPtm7yefjkVdf6uxLPl/Kk0n7S55Pyt8+Wbv5r69dnox46vow9NX1tdOy5mGsyzXGPlt15AoDy907m9y1I2LP6ZCnjxQUnV6ySrHaA7J87ypvpy6h015IlULLr980x4O7a/z+s+M8emyodcCCXBgmE9XkscXM3XIR1PXkSA8CCV2d5CDsTDw8A4q+qyv/DrR3HqO6K18HGMUXV5d2nRolzocbOD+wgZ8t38HEwcts2bfAvYNnGRs6TWF4mnBojsLwPIW+qsMiBgqBoVTuJ14ZI1ocpzm3jsX5Xby0sJsjwRDn+zdS6yuTSXm7x77HtGTKvHuobJ6B3JB5jNciri2Zwdq7eyjaZgZ8jau6dvgnTY1b17tTadzHBaVsRrXNxTInX9NzK7Qn+1Iv4etaP4mp/q13KPQHu3Ud3wE5eDDOu9Gg7SrLnV0QkQLDSDHil3YvMVMN+Mm5fmbqhay/4Gmb7Jr48rvt3OlYJT7c/skH1/LL923mS49d4A//+iy1epu380ieYJm3+yEnsHpiK9+vNPqaTnspu9ZH+2JSx/nEihGxTuW3BGrX8ftAZA3L9SLHz45x3IzTf3oH6/qWuKc/Zs3mMwytXWZgeIWRNRXG1lTpK9Vbc3wD1lpMm+9KpcTsXJmFuUGWZgdZujTKwUsTnIr7mVoaoBnJm1nKN+VY4MXa03dT+4qYlLlJaLLX1tJ5NxOMMfT3WYb7YkYKhrXDTbZua7B5TZPNwyFXjdUoD0YU+y2VsmFy0nDiQsjsK2X2nxvgXK3JdC1kai6gWguAkoqbygc6AgldDN7HPr03PaWvtKFMD06S9AV/3b99uDipnZeO34KEd2Gp2vkWZ3J3UNo7aZboZlxSmX7vjEU2i5E1OW0T5qptIn+7Xw0MBnziXWuJrOXxVxc4c7HmHkol3wlN+1JiP6Gjb1xQ6S18x1ET1qOxM7sBYJmYmo098vgE9A1WGYv0KM9xcicvZ+DsWl+XZ6IpPv39eT5esp5Pxjz9U49W9VarZzceaa9bhRy+dr3y8nzAd71aW/r8II+31q+br+VhoO2WJ28vv75SjHv5SC+7+uittn63vpvnc27bQgg/d9sy/9OHF/iTb6/l6SNFVSfP9rIvqUFA39nXd4DlLkV7EtIaW2LiQpPkLnSHVbu9846jdenqukp3m0wsY087qaaegPoGRt/gleTLe3L9vtNWjd88vkmerA/EhFwub+Ry30Zes1dRnq9SnqtRjuv0xTH98msqIjUIqZfHqBX6qBTKrISDNEaKWd3lb+9EC3fhnpls+vh78MvwTHQU9kDnmfz6Mk+aT+vhw9jip5fWT8pNdrLiDfme8vSOv3XllJOWlI7oH+B/F1J/Z8w32fV2XUVLy9Jh4GKS5xM+3LwLJ1lFtXEwVXkCw4lyk3/6nimOnCvy6kyptXCUuiZ0M4flKFlSXKQ9rbvgcBok8nSyImA5aNA0scC4vaBwbkBonxH6aQz1otK7KBL4GsE32WX03sCwQg5lC2fCnpQrnghMHNnIlllLpVrkdHWM0/OW4vQo/aUGZRsxZC0TxZhy2BSMOxivREWmm4ZlY1ixRaq1YusTH1L2BOOM7Tr8M2NN+zoMYkrF1ufo4ljVT/RF0EsxaddrL85MAP19MRtGIraXQ7asabBuS41NG5tsHjWsW9MgrluaKwUm6zEHVgyXT5eZuVjk6IUSl+uWpYZhuRpQqQK2T+AtZEhlErhLeWRKYkzqp8ou6Tt2QmddV8dsXScPZ3mzTccbJx4mtrNZ+WTj1DWEXKbtx1ZWlTQ0b+OO0WKh7wTtPIzJXjoy5V4bRoYL/INf2EQjspy6VOPMxapbx4mDGgeFcY/03/GoqjcKiLzW9aELIZ/9ausdx9llFfwdOplRLIeX5tcteQJxhqfpUi6T9hCZp6NilndA+3RBE7HWVNlgqtzQX+cda+ZYO3IQTPrFU0xzhOPz1/PKQj8HqmUuUWbRlrA2ILaGWNB1+UoZe+Gp9eilf165tp+Pps8OPv/RemjaeXL5/Cfvr5ajl15Svm715W9tgzyevnIfnnk0fXm6LM83NcZ5dIy6zrOlj1de326V2xhOXuzj6deGODOtv0Tto9GlnyUB3eeKzu5c8rsTIBsRfHH/ON8+GnF0odTZtLTt/4zxL1hipasc2OSBKnLxKQfKpLn+xILvlFatQ+bOqBV3Wds8ksdW5eLRivLMQKww03dEAYixQUitWMbagL5GhVJzkaFGDc9DplQxTJs6jdI2KoV+rAkxNqZzoAJZ/noincoq9M+bZOuDbbpNyiWe+jrjQ1I2IXMKixzIQfuY9062pO3bgZN6eWUR5RJLH/9ubcmRTfq346LG1dnRjw49n18lPL2+ldSV/qnaObwkXsk47qEtd3XpgrG+EdP+W20a9h4POTtfoNLU7VWf1rponul0Q/mG/CvlUYd3PPLkNM+9vsjZyzUaTfGcp441Wh9kubK1rJd+ykJj7WlrBF/vqYyy/wmWGdlMB5t0oaTqJfmQr2tbTmMgboYsRwH1YkxhZImqrTFiDCXBElqHDy8FEaYvpFnvp7pQaMGN+GRE0sCoxj7cnSqGYsHyrt1Ntg9GPPpmiZnF9rduM7tzHV0Nrd3QAEupz7JjU4Nbh+DmTTGj21ZYsz5ibCRmaDSiOmuYP1HmxPESP64UubQYMDdV4NJMyNyKoY6h2YRmw7jdRD466rvZkerQbpTaUPRpX0zQdpEHmaX2U7b3uKn3JobcRUxisFzEOzK0+2QqsyjP6JjXT3JkzMMheWND0g08bWRb+Wi3jFtG09JyZ/FpNGL2vrlMZGG+Irb2rUeHHBoZf8hJV/gdRyOue9Vr1VmqGY5dDjG0Pq7tq9NKugxVJlFcjRy6XV79bvx8+T4e+m+LT4mYbQMzDA7O8NDINB+46gnM1fuIhhaJ+2pQbGCKTWyxLkhbsAG31Evc0ihgGiVMrUxpZpzFY3fzzVN389LyBNXFcc5VR2kQYr3YdMMzT5du9fPKJVb6bzde3crz2q9GZnndTSaf/N1kWg2Gq8V+tTS1n2ei1xXSlmWrsZHun718aTV261w3YsM395T50at9LDd8MqyGVhJ0lciO6CJAyt/tRhY4XykyXQtZbIadgUYONs5jcmoQBfGujqifDFyOCsaF0pl0Gv/7j47MeXki1skJ3eBaWGnvPCZV9EI14S/X7mKADmzEQLPK+vI06znDDc1JHtzyMnbTBeKhJQibrVhG5sMjYEOolQgpMlzbQPXku/irhfUcL+9gobGZc/U1VMOyfxBLlPC6nMqU2MryxFZywpFM6I2grwdsg/+7iJKWrK/pB4o/qr5PdqlbHg6Zth75HCwMziIp0Sv1AePSSWgkeXnY+No47xwqHXz9UdvC4eXTS+aJazkR0+/MgaurEbTkroHES6VLlSL/8IktNGLDfCPs0JS6Qvb03fRRsESWHJ/17WAZ456I2F5YTU7XWVxusFJt33xJyhLM9G6rIaB1AAAgAElEQVROzuLK+Si8rCd3Dx3+bfnk4tHpQ3LyK/Klrj45EXRTPG2Lnz4RVtKQfm0MhSBitFRncKjK7o1T3Dm4yPZd5xjYMUc4UCcsRgSFGGNsxp1tFBA3Q5rVApVzo6yc2sBzU2t4fXodS7MDzNXLVJrJd0jw20uNLQYY6Iv50L0r/N33LxItB7w4Pc7MQtBp2/5bCGGwGDPWZ+gbjti4MeLW8Sbv2BIwsnOBYp8lDgzVgmVpMWDqQB/PHh/g5YWYqUrI0ophZSWgUmt9Gxls61ULr7075suMlYnN00+zaJ/RcQllM/y4pAtG27GptL1vjHRwptOfvDcC3T7S4a311vpoP8KVW8uSYKD1dW4IqZSHCcZdNGZ2+fL6BXhtAszMRfyrPz0FWBaWIo8dVoGx8cmSTW/xUVXBuEf5jZsjfv1984SFmN/5bxNMLxlVJwcwh4f0dFnmk0HWl/Ty6vrKZY8y6q+rX1ZWWBvUeXjLcfq2vcjHdj9HYfcBGsML1IoNbCFyp1ep/Vvtk2fv7YDtOIuB+q6Q4Na9fKL+BT61NMTK4bfz/ZN3UDt7K98/dx3Ttv3R8tyFXTddtW69HMdXnoehTwYf39XImVfPV+4ry5Mtj3evdjKvG2Z5/qP9iy7XmlY3nj68fXLk2YQedVaTutVryWAwrBmwbByNmVwwLFZ87brZQ7ITsvsGOvmohhz4gWIAv37TDHdur/CFV8Z44uwQcRrsc3jrCZKknQZ9hYUV5c4OohqUegZuo/hp/qKepfPYalTvDESJQM7AInzFWsqNKteGp9m58SDbCse4Z+s+ok2T2EKduBBBELU3B1q21MnSueEaA4vmJEO37ONvUyKolIlPXs33p25javkWXr14I8eLW1qTYb37pXcPNWYJs+Svb+KacWdJR09IBEaOr7RxTz4hIbFM/iYLFyecJjSMOnVX9C3f7lM65Pn6ssJA6q1lsnS+5dkrXHXbIc1grGTS30ZMdPHtTOoFtfUIlUx2fLbM0GjLGii59bWUTfqO9gMhQyG0bB1sUGkGrDQDmhjPdyBxd7s1Xa2XXmTpCTmQTrSTGzoWPv7QBO95xxjffWaWR35ymXpTyCGxkjt3TkriWhKjPPKli0hBw9B+R0rGPMHL6Z/CBs7Qoup3Cty2Mm5mFqAdmwUhjBSr3LBhiq3XXuSW9ZfYde0lymtXoNjEFFrfZuzwgdZXGx0kUj4WGL1qGvuOk+xsBnx8oczU0U28fnktx46v4/UjW5lulInTDRDTGZrEhDswsGXU8gvvWuIXP7TI8MaI6kzIyFiEOV2kEFomhmNuGg1Zs6nC2MYmO9c2uX2dYWhTBaxlfrLI8ZWA18/3MXMi5PyJfg4twtRKQLVhaDZaO4nWKowRfqR9ORuiO/In15kdMGFHi1tZv5Pnu3bisyH7CQ2fjyr+zmPYKkYbDw3TppHcuEm/OSrwSXYHk29maiz0TTEVEzqYiP7n2AElUx4OPoxlG2lDD66CURjC5okS1kC9UW29/5zQ1P2tF8Y90hV+x7FXWTYIrR2Keffb5yn2Nfj9r4+rck/QyvDSdXor5QDjpJwBuCt/+TtPVktIzDqq/MI1T7D93se4Y9sJKuuP0iw0aAQxJg4wjSKFaj990+MMXNjG8bP38tjsGppkDwzqMzHvHr/Mrs0vsrL1NLXxOeJCk6hcJRpcJlj3A37+nscpX97BDaev4eiL7+f7bz7IpC0TZTDQ+Dk9ROXLPB+GbwV/b0/qkqdTng/k+Y+vzHryLfkYJX99WOlZ12r9Kc8vrwQXnyy+625terXV7bvlJcmHSXf6xdDysfsX+OX3zfLoDzfw774zgN9mvvaanREiGk9+fl4QxNy+ocLDtyzyo+PDcM54BjU1cEg+hs7gEYi20D6ILod3MnD53n1MSMjTI30LKlR9eS3h6x+HygzYhppkunYzNmK4vsiHzSSbbvkmm9YeYO3a89jy/8fae0fJcVz3/p/qnrg5YHexyDkRiQGBmSDBJJFikCyRkqhAK8uWZVs6frZ/tnWe/fzec3h+z8dBliwr2SIlSqIoRjGToEACIAACIAKRM3YXm8Pszkx31++Pme6prq6eXdKug8V0V7h17/feupW6qydwyoMw6dgIxwY3RXK0AauvGeEkKA7Ppj83jaIHGQuaG09hN13AndaHzEzgWS6jjkNtq0OiJods3sHt3i6swWaO9czn+LEbeProLZzLtpFPZAh2VPTJuR+nmliowyUc/Hv9IJxgQi+ju4j6oTV+mv+eZalgVB/qKadxnbBPL/T9zqguQgNBvY7YgbiSz7dRfZIWWqAQUfxU+nEY+3RCrl1U+PVk+D60yKLxrbdNH381bwUQQhOMoO3E+AYdY5V2wLIy2PYHcgoG07NF/u+95zh5Ps2fvdLBsRH13TAfYwM2ER+hZjAMyPXJFqBP7FbMrOHmK5o4cnocK/ResWrTPo3ygNDnJ8iHoktRyafahJov6DZ0A1B5j0RW6OuLMSa7NU2i/TxqGSBhu7Q2jHPbjHPMvvIwC+d0U9c+ip12Ax49x0I6Fk7eQhZt8v01OMNp8t11uBPpEklLkp3dT6KuQKo1h5V0EAmJsD3sbBG7psCsjlFmeUcZH6jh2IkOzh/s5NW9Czg61EqxWD5hVXmE1rYkK+cWefCmUS6/bpzaRgcsyLS43HtJjk3zJmia59Lc7DI3bZFpyIMr6DuR5NVjSU7sbqDnvM1wT4JzOYuhCYtiwXcnAqliEyxCSaW/0nShL3wF6lUUqy4yhLpshZBaTu+WI21clhYZ/M+MCM0e1E8IBbbn86fq3s9nsDvfPiFcl8l21NOugydBtD5cfRczVI3SHlT79fvQEE6qr9HK+pNV/Y0cTaTgIpLHJJ9SmYCWpgR/8dvzcIuSv/7uGX69b6TCloTw0wt6+4pjyhzew45jxLqIgK2EIz02f/twJ7YlGRrXe6H4cpX0kBdV0vQ4U1k9r57HdK93VLqclTiBJI1HZ2aQTR37uf32f8JaeAQrO8oYYLkJEv3t5PunkT22lCd3386vRhYy5GSwnCQFJ0POtSsDJIUPAfzcdkklPo6XcGi2x7mz8QQ3rXmO3MK3Sbb0QlMfuRlHWD7zCEvWvML7ji7noV/+Dtt6l9BVbCitjBqDSQ+6PkwYxmFtSlNp+tdxefX4OPuK06vOu1pfHF/VgtTyVbMNnV61+2r4oeWJkzVORyb+q8XFYWYKpjagp+nxJvoaPwIakg6zs0WySV1fJgxNdqJcqp8nUEPo/US145VgCRxP8PD+Jrafq+HN89nwpl3c4F+d7KkdiCTslKWSQSXs8+JS2g2KnO5ZLmspafrkJtLRynAeNa9EOTCnEJZJSmzpMM0dYp29i9svfYrUwiPYNcNge0jPgok0xZFmnKFpWEc28svueRxLt9OfbMOVScACN4njWSW2kdh9LogiwnapdYaZlzvP3Q29TMzdRu3iHmqaB7EaB/Ba+pjXepG5C/ew8Yofc+S1D/Loxes4as1jwkrjCf/xLg0fDPhHVn+lNlBRg1AGH7JSh+vjqNBDaPn8+mLswmg3Cj1Pr8PvwLW0QH8x9qZOvEyLI0a5UZpTGSyVlko/DmM9zoSxbqO6rYbkVvp6/ZAZlaCUmp61fOpjuNUWWlQaqltTdwvL+SxLMiPhMZTwKu7Fr9vXl4lfHcfILrmiX/XCH8gbTpF98s0BTg7n2f3OGEVHKoNREc6o2nbgG5X0ULektCdVt8Fup2obWh8RsCgr+EW6XE32QA+aHQW8aXYsQSBJJlw6m0e4Zf4Jrrj1bVpmDGJnigghcR2L4miSieEso/11DOzt5PDpNnY5zZzvbQBXkLI8bCkYLyRwXavkLpMuwi79TmsZZa09xIqOARpWnKdx5gA1jRMkagtkp42xatoxVqw5yfrNeznw4nKefHsJZwaaGCukQAoyacmGZXl+78NDzFpexErIsmkJhA3X3jrGQE+CiZzFwNEE/3E0y4GhOs51JxkfhXHXouiC6xJvT3q838aMXa0S6R9iFJiHCOs/1KUa9ADRtq93w+rOmGprui2Gknx6Sp2aeVSMVeVLvS//F/LTPg/l4E/YgkdxlQYQ1GeQLQhTwNiXza9Xl03lR92tjehaaxd6Ww1lq9xbQtCUsnEtiW2V5Vcf3UfBNoKDyd/GByGl7gmioeZP/pLxLX+oEDdVZI5LWIJ0ouRMcgWh+R3d+kSV32r16CGOP94Frep8JPBYkBrg2ln7eP8N30Os3YFMFrGLSVL9LUycWsWxM3MZPXQX/3x2Dj1klSlhVCYLqMHBQZDHn0xGeRDANJHnIx1Hmb/ySRYtOEBi7jsUG4aRCQdRSDK69UYe3/oRXr+wmnNOHW74DV3icdfxicMhDsfJ7GIqeMflq2Yr1fg11aPy/17syxSmKlu1vJPx9m7rfS8hzg7ebf2T42EJmN/mMqfV49yAxeEu0/EqU6Q5S0KH6sRNgzkZdcDlfBnbI2FB3hWld7HVXQh1UKw3gUm851eWbeWBTS+y6V++xqiXMfOm06lGV03Tdz71EMGgjN945Z1Hy3OZ6QyxIrOXe2a8TGrdK8jMBELaiPE0DHTQ1TOfixeWsvP8lbyZ7GQsUavxFF9/0ip9fLograB6y3VoL/Rxb/0EM5b9ijkth2mcfRyvYRASDlJI3OOLef71D7Jz5AoOyMXkkjUaBupgXO2ECZ8gahrUm3aMdZ36Zf1BUJx+pqor/9o0iYqjYdhtiS4OGGTBRM+vV4sLFdJuQ5+g0ew1FKfowmRvcUHFxBJmjE3y6Do25VN3AdR2q2OtT2j8X4WfGttjfXuOMcfiwECGMdcKQ6d+HzWCsYLD+CDs+il4XriuUP0Q+cSBb+9CkE4JkglBsSjJF6VWngoPoOlDou6MhTEz+UolPpicTlG/kV0uDZDIgkHZL4d0QCB3MukxvybP2kuOccvlB2lafQ477eK5AjeXYvx8PUdOdtBzpJ19Jzp4c2A6jmuXXYPAFh4LOgfYOOcsM2sLbO9qZMeReYwUkooIFZ6EKD2Fsrypn/Uzu2lbeoEl87upnzOInS0gEh7StRg5Mo1tOxayde8SzuQb2LTE4XMfG6J9oaPBVKqk62CSP/pmM4e6U4znrLK6ZFh3aDjobUsqdqF/szOSHy1N009oITP4rxT8HbiApCm/Qt+PDGzVz+TzJ0LkSzRllHYcFqZroyxqO5ShqMi1eq/K6dNVv2cqtbwmjFW+AjlVf69V+G4xDk1AFYHKtDMpi8tX1CORvHNynL6B8inCIX6FQtOMa3bzQXJ/+XdUC+/hVFWpXfvS6dop/c5s9ti0vIhtwU+2JxmZEEq6GnQ6undjkngw01XpS0NZXSY/b7yDzOLwwLQLrLzq2yy67GXybd3gWWQvdOAcvJ5n3t7I0TMbeGW0iVGSGp1IrwIILkmMcPvqX3K+ZzaPn93AEGlMmEgkF2WGf+xaSV3XEm5sOsOyebu46ZJtFJdspdDaT+11z/Lpxfu5Ytvt7N7+CR4damWcRAx2eh1xWJp6Xv/eZANq0GnG6c+Uz7/Xy05Fj3paNbszya3Lq5Yx4WjWbbRtmLyuScY43vV6qvEeV2YKA4BQmumXmLRqNCp1SyQ9Ixa5gmAsb/Lok/Gh5I0MxpUOQCVpGFQlLMlNM8ZYUF/kpfM17B/KINXTR0MsqJ2roRNTOxT/cx+BWnXHTeVR1YBHUUnTO0V9cK3jE4FZhGn4dWdaYKKfVHGUJcWT3DP/ORYu34rbfgppgcjVkjwzix3H13F65FLeHlvEiUQzbk0yVF104BkeCNQkPDa25UjZkl29WXomSj7IEzZdmQ7+qWBRc/B3uNw6x7J39rChfTftS7bhtl8kseAot3X+PZceXsXBvXfxo+Hr6U1NQwor7Mb1gbppJ9gYlLYmNZyCgY7eyYqKjlUcgmsZtQU9nzoRCw12NFD1CXFk10cbZKhlfH5DetfqVXf41LpMfJt29UKD1HCRStB8jEorqMfnSZHftNOpy6jvFpo+hSFj5NEH46Eyuh1AwRO8M5Sm6AryrkrXl1EpZ9xxLt+rjzjrfkq/VuVX/NaVqxtYNauO3UdHeOPgCI6j1qPJo59OGtdFmZSn8m/F5DO+Q+nzGoOxmsfHUQgij8oJEEJSly5w2azz3LHuJLPXHSTVmgMpKAxmGT0ynYNHZ7P3cBu7LrTTP1FTev9QgR2gMely7yXHufR920k3TTDvcDvjD2fYdmoWnqcuApT4lhJcz+bt/jbe7m+j4fBCLmvtY9GyLtYsOEvb8gukWnI0Lu/hxjmDXDK/hx17l9OY7eDgvixidIKaNo90s0cyW7HvZKPH+bEEuVy0D6oM7lVeFIxVe5EGnQj9XvOLqk8w2V4sP5od+6oN7FKhH2TT5Sv3h8FESZENrYx+7/tiNd5ve+oTRkLDTmo0fBKh02QrYoV+fRpCizT6CxTZYvIYMfH50DD2f9Wvgpn4I0qv6MCR0+MAjObcKI+RhRnVJ1TRhSH8Jz7H4Qe98wunL2x3+dwHe0ikHZ7ZO7c8cdTLVKtLc9CheHOdZmvW86mjLD1ez1O5bxYFfmv+c6y/93u4cw4ykSiSGK0nvf06XnjzPp7pXsQ7483kQ7t8Kv/meu9Z9wjrPvBNOLaI3kebeaZvVQwfIogZIcVjgwt4fs88nj1yA7d3HOX6K79L/vJt5DrPseR9P2Dpov10PvUA/3r6aoZkxoCVCbe4uGotLU4fU9F1XJrJ1qrprJptxdlKNR7i7E2P073oVOjHjbZM8dVkVWVWy5toxNVpkktPmwyDODp6u62EhCW4Y1WBO1YXeXJ/kh+9niIaJqtTCfrEarKV9DK5hJDcs2SIzZeP0P/EdA4OpHHVwbb62KDPEoQ7sVAnI0IwBhyonYP67qI+GVUf81EdvT7o0ztLo4uMyi+QTBMeH7N2MvfqH9I05xBONo9VTCJOzuXwvqt4fuhK3mEho3YWL23rBKI4CEIDSSFgSWOe39/cCx58Z2srT5yupSBthYBLzi2wJbmU7YMLeaF/E5ce3sPt85+j9YotyOZBOlbtYPqsY0x/4xAPHf4Ih2rnUrCVRbWImVexD33yZYlwx63qUBCdhIYev9Jwniz49AIeMegmpvOODPzL155STt0VFUqeUFOO4V0/IVQoGXRd+3SMu4QKlvpih3rIiko7NGkvp4cGXkr9kZ0r5dofQOq7pMYJk4K/n+aXiwySJdPSLn92WT/nx2z+9VAj5yeS4TwqPsHjx1p1QoSxUCd5+uJOQNOnUyF2y9pm7r+zg28/dp43D4/guCJ6orO6W0JZptABIT7DInpt8pmhhSGljNR51elpchnr0fAq5xcCZrcNc9/Cd1i06RCt8/sQSQd3IsnIkTbeeHkNW853cqGvkWHHxnNE+FFMSVB/bbLAvM4uUk0TSOHRMmOQ6XMGEKdnVTKHJhm+rCV6w/ksr5ybxfae6bz89kI2bOvmumv20bS8i2R9nhlXHefmhb2c27qYn72ygu8+18qC2UXWtNisnjdC48Ii9R0u2UaPzlqXbmErpiwVDBSMPMKHE4Fhh8rHTOVb00fIFSrt0hQEFV2oeKh2qU7+1FN3AwJqfs0f+LasLuYEO+shQULQBDTjnK06zPAXfPT2pPqj0GnB5XrVeqQoY+/joPGu+6dQ2zL4QH2cENl9RCsjKvyp7UN9/FbFuGwrjfU2X79nLq6Q/PDl8+w/Oq7wJiuyhhYKFTmqYayF93iqqm6xfpqI5L84YrFrRytJWzIefE4sjjnVAtSg36s01LSYAUPV9Gr3lTosPOanRvjU2ke47H3fp9DWg5XP4L1zCRMvf5WvHFrFObeOopFGNdnK4cIchs8tQnRfipufG8OTqtiKDsakze6xNvYeb+Xnp5bzp2/vJLXpHxALjsAlb7C58Syppz7NQwc/wOlinfIdyJjO4z8VdGs06TpqJ5PH6Z6yGr3/TDBhbKqjGj9x+aYSqtWpxsfVX62uqWJcrd44Hkx04/KU4mxLsmDhCNds7uf08AwwThzj2n5MtSprcUFb2fckvNWVxdqe5NxAqlLUHxxD+PMaavHYz24obIUmnWWHb3oX06enDwTiBnOmd7lUd6zugpTz2jgsmjjFA7MeZuU1TzNsd+EUIH+xk+Ed1/KjM7dyPDuHsYRyUJGqRl1WdaADhNfLSh+89qSg4II06s2FiX7ymRaOJ6dzypvG1sOruPmd93Pz1d+lfsl+ZEs/S29+mD+feZDHdt3HI8VNjFh10Q5clTmIN+Cpsu7n0T+DIpWycZ9IgejBRkE2DTu9ft1GdYx1Pv14lRe9+YcmHap8el0qn4RtRo3zB2F6fabdPR1jf/JmHPxpcvmF43bUTRib3HQwYNTy6cMWXc7gWhm8KRjVpVxuuWqAo6fS/OR4XXniqLW3EG1N93584Bb9QZyMyqsOXNUBZznt4LkcW14Z4fjxPG7wCL2maN2FS5T3nabS5yt4qxMQPagTUWHAI9Kd6NjKMD5l3lIJl+XtPTxwwy7mXnMcu7YArsXwyVb2P7+Wl47OY8/FRoqurdDTZAmwlwzmU7x1YjrXXXKBZH2OodMtXDzVUoI2bofIvy7jL5HknARHe5o52dvI1gudbJp7io2b3qZlcQ81nYMs+sBu7pvZy0NPXcHzO2bxhGfT0phkfluRFbUJls7NYUufNVW/Bl37QqgThYgPEmH5Tf2Ej3OAsVKPOkEO6CkwGvstJUNo587YGKN0FL1EJ7Yq/4ohhZ7koHKtPurqy6H3A6EJG5VyoUgFA903IrU61SQfE4XfiJ/XfYHPa7kelcfIAotCU+c70KsIcMimba6/rh6n6PHszhT7ZS662Cm08v69unhjautaeA/vOE7F8VRCJilpqpEIIekZtnC9EPIGmirncbQ1YN/VpEOl75c13Vd+E3jc0TDI+6/8LjOu/wmFpkHEaAO9zz3Az7bfxitDC8gFc3ATnJPLVoPDytQYvY7NWS9LofKGrVbG1FOF6dficFPzET5+/eOkr3kYL5sjNdjMyRc+yePbPsrzY/XawTk6rangFVdmMl2a8sX17HE6ngyDOJ7V+8nqieOzklcISCUgUf70n+eB4wqKjv/BFZPuqvGphjiM4mSaSnmDU3pPeqyGrU5Tz1OhmbAlVy9yuGK+y1unbF44mDTwFy4TK9Mswu84qvnVTiFYkVSoC2hJuWRtyUDRJlcsfWCiVFx15noQGmRKnvIg+CvLtvLxG1/kxm9+jVHX3ylTO1JRGRSEPiIfo9vIKq72q9NUVmBTXp7NzmluWPJtlmx4Hlk3CrkazmxbzZN7b2N74VIGUk1KJy3N19WCwktNwmNVywRpS7J/KEPfRLV1Sqt0eI9V2t1MeQUuLR5h84wXWLnul6RnnkZ4NokTc3lmx2/wk7676U03lx9dLXd6we6VglWJKSIDEAO/Rvl01b9XTAJiZX5iV6Sr8KLKYqp/qvyUgyUgaUkSdukjBZ4HRReK0kRDG8REeNXaWaS4jE+bcr4qsqtxcToytRMzEwT2ArSkPT65ZJDeCZunz9TRm59kvT1OD7kB2PUz8Nx4PiWETpj0DbCc1tSYoC5jMZJzGR51w17JiAnEu/hJbHmy3Uc0LPUJySRjQ1MdNUmH9bPOcufNO5lz2RkSGYficIZ3ds5l6ysr2dLVydhEugyNz7tJnkqcZUkW1E+wfvEJGqcNcuREJ1tPzSKXT1V4CGQoF45rh4r8NZkC61v6WL9xP2s3HiXbPobnWgwcms7W59fyxJF59IxmgdIiaX29R7EoyOWU/mUKmEzdzyi8R+Kpro6QnZRvVExNNEzvvhqHLKpt62nxfFkWJG2LhG2Vx1eSoispOm6lUNwQIw6zqQypQsONKbYL0A6iMdj/VDGGeAxNMkjAgoYai/tvmI4nJM+9NcDJMxPRx3JNQeMre8s75P7H/6lS4D19jqOaQ49ymE3BnFYPAfSPUl4l8/PpZapJGGf9IU+o0NXLTMWRhSwGEKTwuLv1AJ+66cc4658gX5MjNdzAM4/8Hi/suYvDTkY7fCaOdxU/ic5bjgTbC41Eraeapat5KvyPkeSpgWX0PjOLe/pbWf6+fyHf3M+c2/+VLzZdJPPKvTzRt0KZPOr6UONMLTOOl0irq5Kmy2DiQ6/DxIvOr4k3073JnuNkLP1mU9DW5NHZKuls8WhtkDTUSLLpUsdQcGA8Lxgag94hwfk+i/N9Fv3DpQGZGc84jKthbeJZ590U4nRmljeenl6Xqe5qbaEUHBfeOJZg9ymbghsnezUbVeNlpePUBluVdHXQUykuLOiocWhNOTgjaXLFBKEV7ABiZXCkw2EUtYoupXav7s7oA1yUuvUVVBM/6k5jOaTcPHexkw9d/hCptS/jpScQo3VseepBtvRuZq+sJ59OYLtFVjkX2dC0i9d6lvFO7VwcKxlfR9yKvRDkXJsdvTVYUPI11QbusrTzSLoZbJuCSLIjuYwj52dwzYsL+MzqH+Cs2Y0z/wQ31v6Q5Gt5fnLhQ1yoaUPqq7pxgy51kByYU5X+TCq/VQduho5fDyGeMOstQjYGY5Vm7AApHC+kJJuCabWS2Y0e0+slzVlJQ1qSTQiEkBQ9GMsLBiagf1xwfsji7LDF8ETp5OFKU9Iw1XbogqCeZhxpOyZ/bcpnyh8TdIwn9YcqeYNNlq8HCxbfeacJVwrGHRHNP9kEK7BJA0YRGYL/Kjal2Pe0pgSd01Kc684zMuYi4z7lU2GEkC0r5I0YhCavVUJALqbfiQwFVNqqvBU8k0mXm2d2c8s9b9Cx7AJWymGiq4FtL17C42+u4NRwI45jKxUolYUWO8L68KTF8dEs5/YtJmlJxt0ExaLy+L2IKRuZVCtpEnITabZ0T+fQs3X09rSyafNuaucN0LzsAptqx6l/eox/27eKkVwG1xMMDlqa/5uCTft86E90qEHHVr7vngcAACAASURBVO8+p1CFUSf6ta48/fRQnU61yZPGpxCQSdm0N2WYPb2WjuYMzQ1pGmoTZFMJhICi5zGWcxkcLdA3NMG5nhznLo4zPFag6MqonFKrVE835ZdammlhR6fv5w3pxuSv1esYjGN5rIJxeZF6ZNzjP17uBgkTBS/GVjD4cFWeqRjLe3rHUeUgLr7CySUzHf7nx7tIpRzu/p9zuTCkW3K164iXqfIb1wj1vOq1aYBauU4Jl3un7+CT7/978qv2QqJI4vQcfvbo7/KzwzcxItMaCrEeWfvV+Y3DQM8b14hFJM7B4vWJeo7/+n7u62vixrv/CWfGOazrHuEzbfsZ/8V/4/nuNYYTV02eR7+uhrMus5m/6gY6mS79a1O+yeJU71pdNsuS1KZh3nSPy5dINix3WD4HWhoFDbUW2ZSFEB6WqBy7KRE4riA34TE85nBxwOOtYzavH7DYfcSie0AwUfRPF56K/uPiTBhU84yTeU09xOE0VXqT12dbcOncImvmOOw/m+C1I/qO41T8hDaAszQshAEb7bMWKUvyxdV93L5ilD9+sYNHjjQpm0TC/GsSTe1YJAEvIsKLL6I6EJHRR5H0utRBql+P/n6aoXxKFvlAYjv3Xf7PWCvegqSLe2EmT7/wSX4xdDcDqUZkyoKJPhrzA1w1+2dcsf4p5u25ir878ll6stPDtP26hCazjgelx1SDT/qZ3un0ZZcALuQHSof32DaetOnPNPP0xK0Mv7GAz43+O+l1jyM6znPNTT8g8fIEP+z6OD2p8uRRUvnQvYpBxP1ogwg1zudPp6HTk+q1km7qkCODFoWGny+0qq/Yi6pXgeFdNV3nFd5sC9K2ZEmry5Xz4PKZLounSabVWdSlBemkKJ/f7Y+YSn6pKC3GCx5D40XODkr2ddnsPCd447RN37hFwRWhzbAQJioP6iOuer6I3cRh7OMaMqro47M6CD5uIfdo8AW6jnwolJX6hoTHbywepH88wUtna+l3EhX+Q+1OhnXo20bkMA4RPtij6k6oUlBK7r9+Gvfd2sb3nurm73/aRb7gVaERmb2FhTbuNirjAKHcq++2BQtTRN+58he39F3J0IKAxqeUpBIeN06/yN2feo6GOX2AZPh0K1t+vJGfn5rP4JhyYJkvgmnyHtn9KsV5nmC8kGJ8st28yERBTY+mua6ga6SBH7+5kpMnO7n3/peZsfw8NXMH2fjBnVhFi+8cXMnweMrgvzXMTbu3gZ+V4exUkit9iYpFAFIIh1C5yHBUs2OhZTQtkoRwUnQrtPxq3eVLO2GRTlgsndvAhkvauWJ5K0vnNNLamKG2JkUmZWNZmiieoOh5jE84DA5PcPbiGPtPDLDt7V52HOqlb6hAoeCW+wNZwU8acFDz+ExZCmaBPUizvanpkT5Qw17XQwh/5UaNi9igrrCwzmozCe7e1IInJVt2DnOmK6/RUvJL33/F6G+S8J98x1EPhngpGJQ2CWniR3dsVehMOtCdjB8T74aOpBySeNzVvovPfPAvGVl2GCEt7D038vAvP8HPLqxjQqgHRpgc9GT1mOQx4TFVjEr5sqLI+uaTnJ+o53iugy63ln/dfxe50Wbu+sC3KC7ZR3H1Hn4/+ycUH/oLXu5egxd4n2q8TSWERkIx8dVCvD4qdCbDx6QHUycaTyOZkMxokVy62OPOKz3WL5fMmCZIJQRIR5GnXFoxbCEEJKAuDe2NsGiG4MqVNp+41eX4eYdX99o8vc3iwGmL/mFReU9lSiE0Wns3Bd9DUHUx1fqmjjFA0pa878pBfuuei3znkTnliaNev8l2QqOwSnTce2hqEYNPlEgKUjBgWxT1zlZnQe2MfHr+n8k0Y/nRCoQmDlpetZ64VU/1V4HGdl1uS23nU+v+H8XlbyOlpHBkOY9s/SzPTNzAWKqmIme2lWJ+hHG3Bm+ihsFCDR7qynz511Mw0NN8PlUGQx9hV3ktd1qhz0uUdx6zLVD2sUUryatiKafe/DIfGqthw9U/x2ru5+pbfoj3vMsPz36a3kwr0p8ooPAX4Uep1w/BSZi6PIaBUrUgMRzQpFzHvSupm7NJlwFfmk1ChceyDOmEZGaDZMNsj5uXeFw5x2NGk42NRHou4ChFw+AIS5AB6hPQXgOLp1ncsARyeY/DFz1eOGrx/FGbg90wMGFV2Jh8rBHNF8hare80BH1xQC2i6nIysoLo+5qgDYyhrdbhL+/q4sCpDAeeytA/lIi2O7+CuA98R+o2DDb1EBpsl65dKcgBBX0SYwy6f/EHp/6vMOxK+P5PhKNMcgU7ZjGD2qAt6nKFb9OWx5Vzz3DPAy/TMK8XWbS4cHAGjz68iS0900q7g/rkI86Z6xWFBusGnOImnSEyhnj/scQyxmPjSV650MGp72zmM7/xGosvP0m6fZT19++g+FPBj/cup3cio4hQxm5Sc1cymIYzceVN/V3Ar2Z7ERoiWkeItoKHuhMbTD6gcgCUVlYI0kmL2R01rFvRxi3rZ7JxZTudbbXYFiX/H1Rj0q8kIwT12STtzUmWzG3gxnUz+fQdRQ6dGuTV3V08t+MC+48NMDhaKO3I60Lo5qryqz/RY8QnwlKYtq4vVW9qRn88YRRT5VfTWdCvCYIFBQFN9TZf/+hsnKJHd9eJysQxxGeZiH7gn/AxmETWcrC/8Y1vfGOyTP/jpS04p6/VuNaR0L10KW5kQrDnSC0v7aznVJ/+jmOcZzfRj2spRq0YaE6VHiRxuavtbT5971+RW7kPy0lgb7+Hhx/9I37cu5iCsInKrtObSs+lx5lkMFl5fNkvzN3Cl+7+36xoP8Rb51YzVKilgM3eoXkkTy9nff0YhfYT5Nsusq75KBdPLeNUrp2qz9xPeeIgtF81fjLZ1XidRpw9mPLF8TF5nG1J2hold1/t8dv3evzm+zzWL/doqfcQFMtOTSKlDJyalBIhRGnCSNjZVfK5JG2PzlbB5Us9rlklmT9d4nqS3iEoFH3O30170OWZin1VS5usB3q3+fw4n8doGUsIOps9kpbN9oO17DqVYHK9Y7gHGgHt84Lh1U4RC5kETg6keeVwLXsuZhl19PZtGFioNEwsle83TDvD6nkn+P7OqyhIZZ1OpaOuXpqau1Dy+XlEOb/fGUR2uSRCSi6bOMeXr/1zvBV7AIE4uoSHX/stnizewHiypjKwKpd1EvUMDXTS072EFy5cQ3e23YCh3zFqOtd5NAKj5lXqDgUJxQlIZKD8DqMUFkPJOo50LadteII5nUeRdWPMmXOIdHeaI0OLKdiZCibVVsdV/kMDICUfSnzVVXZdj6b6yvHqDpPKY3DAkmanOo8mDBV9JC3J3EbJHSs8vnqtxyevcLl8pkdTRiLdIlJ6qKMU33eVxBTmgZqUSNchbUtmNgrWz/G4dj7MbpKM5WFovPQYfmnSrthxHP9B9xiHlUE3YYZKeeIG+1aVutV4dffblE+x5awtWdKU52BXhtfO1TBUiPnerMmepSJzcQIuHNDau8FxqD7Bz1cO5/rzvLZriB37RxgYdsL9trozJsqVq+01ZOtCO9xGyaeH2Im1Uk8gD+FrtU7VXsvxtiVZN+80939sCx0LLiJdi7N7Z/HIL67i1+em43g61io9BT+VrjqBMe56Kc5bb/+m/OpOnOqU/d2pslxSWgxO1HD2fAszasdobR8h2ThBR2c/dk8DR/ubKHjq0a9+fVPAWO8bfDFCcVrfoNOTKn4aDf/GJLvRTv1ywsxTUKaCazJpM7u9lrtvmMPv3reSB25fxOXLWmmsS5TGVtILxky+bzKNr8LjLw8pPdIpi1nttaxb0cZ1a6czq72GsZzD4FiRguOVTiRFx1ABUCjpJpxDrlGzZRMwKh2hpfm4mjA2kpsE47L9pFKCJfMynOkp8Os9w3T1FaLMG+sIt6Hkgj7++KZbDYxUwruYOF5DuEYVFbVhEYrzJOTyMDguyBX0R/RMAlQb7Jq0YcpbbeKp0oqWt/D4QGMvn777/1Fc82tsJ0nD9nv45yd/m58PtuHGjRBj6RqcVUiWOP5Mcpj4V+lJ/nD50xSveZaWzCivHdhE19g0oLRAtm+sDe/ccjbW95LvOIHV0c3GpEfXycs5VcgQHybTi87vZHnVfBiu47DT4/R8aHEmPNU8pXqFgLosbFju8d/ud/ncnXDJPIealIP0PDzPCxyXGnyH5kqLgpNECGl42rASIaWHwKOpTrJqIVy9sjRR7eoXDOcETrDYpnsvk42Z5Jssn0k/k2FMlbymNqXrJ84OJJ4UHO9K8cLuWt46nSDvxPFvkkfjpRGoMQxcIxODch5tEF/wBEN5i2HHxgk9EqV1mhLtETytTp+tcge8YdoZVs8/zvd3Xk3Bs8P51J0in4Y6qRAKLVOHE8ihyOLT8mDWxAUe2PC3tK/5NVJaJI4u4gev/RZPFG8gn8hUYFSwkJbFQLqVo/k2hhO1iuxq5yLD9ep1+wMQ/VE8tbwQ5VV7E42yfO4E2OVPCJXzjaVqOd6/lPbeArNmnIC6Uea2n0D0NHM4twjHTlbqVweB5U4x0JkJd8uQz687aJImuuW0ahMmv4MP7Q7qNHTngYKHIX+ZP4GkIQU3Lvb4+g0en7wClk8rkrYcPM+N9V+lKsv+Syaxyr6wRDo8cCvFlfxXS41k7Qy4ch40Zzx6xgRD46LUN6oDXBMm6nfXVDlM95FFCIWeOhA2iabSsFSMg//CtqzypuaTknHH4tVTdbx6ppaL+QSe+kkKtT2b9KfmccoTR8/T8gpCulYHksFnNUrpRVcynPMYGnMoOlKp26ej+iaNvsqnhMqplBDdbVB48Avq3xQMyS+0slTi/d+gjhKuwoKFHb184RMvMn1xD9ITdO+fwUOPXMuO8zNxpF0a8Pv8+XOuipFWIFQ/cRLx+YpgalsOfKkCVsh+lTKedi9kGLNAfsHAWA3nz7UwOzNGy8xBUk3jzJgxQPfRFs6ONiJVTIRGVzVm1R4g3sZ0eaVSNsCecNtTv3ep6gahye7HSXPdOk7+fbAjWwqNtUluXNfJ1z66kk++fwlL59aTSVl4nkvkia3yr+97HA+KrsASpcVmf9wV9k0Sz/OwBDTVJ7l0aRtXrW6nuT7JuYs5RnLFyisT+iTR59e4q26wJXUip0IihYIBmr2LkI0E+a0AxLA96yHi96jIUI7PFzy27R3lld1DnO0pVM6TCfkEVXa/rciQ7pILL/LHN90WzwvvauJ4XUXAijTl37iBO6ya5fF7d4xx06o8bxxOkysEEmi/aL/VBqVoaTotU1pcfjUIOpOjfGjTt2m+5lEEgtSuK3no6c/wZP9sHARe5NkOkwxxfJrKVctjKlONf9jZvZirh2xe2PF+Xjp3GQXsIJ+H4MBYA1xoY3XrcZyO84jpx0gO1vD22UsYl6ZTLU18xsmn61WPQ4s32ZJepyndVF81nE1xpbK2VXqH8ZO3evzB/R5Xr/RIJ/zV+XJuxTkJxXGVpLHYf9Li+88KWuo92puiTjDqGCUCj4YaybrlFmsWeRSLcOaiYKJosi8/xE38TPYdlnPqIU4n6n2czuPoYMhT6gg6Gj1mtZROdBzMTcavWr9Gv4HKjmPwLTVDh6dPygSkbPjiJX08uHqA3lyCUyMppDoIC6oXYfpSifcPt7HC/G+YdpbVC07w/Tevruw46pMF/xCRoA4lPZKmBFMHXw7T3D4+tfybrF33JML2KJ5cwCO//iyPOzeTt9NRmXTckjXg5sFvB4G5qZPTyrXAY1axm2W8g+tkGLWzYXx0vn2s9F2/kL5kabCdzIKotIvRRC0n+hfTOegwfdYRrMYBLqk5ycTZ+Rx25uAJq4KxipH6bb+AF6XTDAZNCt8CZXBJmFdT0CelIfA0mY0TDb8+KrYR8CLQP02RtGBRq8dvrnf5g00el81wSVtFPM8tZxHBr2kV37Jttp8WPLzbZm6TS1ONiC1XEbHkv1pqJOvmWqyaLhnJQ9eooOCUvFtowKLKpA9C9acC4naBdYwDTMxZqtLwdepPBvSdKE3faUuypDFPxpYMF22K/lNTgc0YBtXqApAfCuPQdTCa32+7Pj2fv0A+EQw6H7i9nS/d0YltCw6eyuGpj0yaFiL0yYc6SA58nAi71NAERGFSaPKEJmsGfIVSxqfv25UF89oH+fLdrzJrzTmktBg+0sG/fX8z27qn40qrQis0uBVhnvzBt5pP7x9UPkKvhmg8Vpt8RvyfWmdYfulBf66WUydbWNw4QtOMYbItYyya2ceJ4x1cHK1FUn55r3I8QlheoUZo+vPr9CcqGNpToDNdt4Z6gvQydkKG6wkmzTJcxudBxyl4BFqSsC0WzqrnC/cu4+sfX81ly1pIJ8Dzyh+FU8ZSRl+FYOveHn7xyinmdtTSUJuMPCmhj8lKbEhaG9Osv6SDlQubGRopcnFogom8G8ahUkCTQyj2omEiNXx0HEP2r+Dix/s6Vc9jkCi2rNH000PvdfvXFX2nEoJFszLUZW3Gxr3SATmhPlWRQwdA4TW5cPIdR9O5O1VCyOqIDlCD1hXcN9d4XL1ijOtWj5BKSCVdzafTVn/1+tU69AlNXBk/+GXMdaWFw8dXP8qyTQ+B7ZI4sYBfPPMpzuUzfHL509wz7W3SuDHl9cmU3lpNrdckW7W/uDKV66PFZj76+m/zD8dvZ0SmInmLCH7QfSmPPvklkl2duJkJNtz6PR5Y+CypQDbd+er1T8aTLqOqszj5TfKY6o4rPxnPejlJOgmXLipNGL9yj8vCTgfPLaI/iupf649LlILFmYsWj29NcrrHIm6yqK6S+cHzXJBF1i1x+ZNPuHz5bo/ZbR6W+jHZQDaT3eqTsWoT+ndjX3F6MNGNq0vlW89TCgkbPrAhx//5/EV+Y31hCvzqQUlTna06OfQdp4+7+p3EMg1LSJa2FrhqaYGOBgeh4hh6ZKxMTx/MB3SFFi/K/5R4nZZaNkhX69TT1LhyVn8QXA5pWeSBhi1cueZXiHSBYl8bv3r9ozyVu5GJ0KTRBKmoxNe0gp3UXIJfrzrhgiZnnA83P8OXr/tb7pv1WGn0pHecqtyq7DGP5ZWCV3rnsTwR8rE6n27n6dP3M7b7GkQxiTf/BB9d+2NmO2fLEErNDgjvPOnyWqLUGwbHy2v86jIEaYSbXWR3S61Lq1OlEcG4HKE/wqDcp224aq7LH97o8uWrPGbUVd9h1AdopWubo302vzxo05eL919qXPDreSQpcvU8lz+92eVTV7jMbZLYKmYVItE2iZIvbqAecidqGxbhtDjdoN0HOItonSFeK7ftNQ5/c+sFvr7+Ip1ZJ6rH0GRKkUvfwdR16dtogLXiL0Myy8Au57dluObSBubPyGBZ5S0SfVLu38vyf+qkAirfdPRD+Anmiv37bcFnK8QnqIPWIF1td35+Ty1bCjNr8tx/6X5mrzoLSMbPNvDK4+vZ2ddG6LFnn6aGcTLh0lk7xiX1OeZlR6nJFkp+W/+UjLrA5/OMNHQpZYx1rHz8Vb2GeCNIr8lYLJiVZnp7CmEJjg218dMnNjL09gw8R9C6+CL337SLeXWjCj2fvgFjv2518O8pPPnfbtTL6tipejH1bQHGfrpmz8qON1CZTEm0j8srWCJJpxJcubKdP/3NtXzpQ8vpbM3guW5oAUsfawVqCnyO4NDJYZ547Sx9Q/nQOEodT5l+XdfFEi7XrOngzz6zlgfvWMSc6bXltV297Sk4qO1Il89T8lbDWPdZAZYQOk03qFNW+lW/Hp8Xv0zIlmWFTrl4U2OCP3twHn/6qbksn59V2iJh/iI8iTBtra2awn/x4TjR/Mcv2nz7iRYSNoyMR1orimRToDuVPHo+lWe9lw/X/bGmPq6//XsUanKkBpp55onP83zPpXxh449YdfMP6N6/kZd/+udcrPr5DZWmH8K81MoiM61xRmSCHpnFFWCmpZaX2MAMkSMrXU7JWvJCnffr9eq68tMFDoIfnt1I3ZO/yfUP/DWF5n5uufk/6O6+hoeHWzROdLq6bDqfahn9WteJGmfiWc8bF6ffm/AP6z2ThPXLPL54t8fmS10yKQfP0ySX4UchTKvveq3BtSGPXrbiPF06WySfv0PQUAvfelxy/IJVftRAtVtdB7peIIq9zllcHpWufh1HqxrGapxJh6XpVK0taE8LUnY12nqIk91P9p2hWp2SXyPtSMFjRxs4cLGWvV3ZylcsTDsjIdmoOFk9n+J8ZVCv5qS1fDrp0MTQr0PtmCSVTl2hszh3lE1XPYLbNACOzfktH+WxofcznG6olEfBJxiUaHhKINMK433gFcLxVrh8wiuSrO3FnX6BjuHD2F0ernqwjoSUO0Hn+AUKdobudBte8K64CGMjNDvwnBIP2VaQJZqesNiVms6PDnyEz7cfw118BLHyVR44tZi/7voS44msgosIkQt1yFIS7DSoE3yp5ffjjPnD7AYX+mmroTxCy6/xKmX0PbwgCGwB1853+Np1Hutme6QsB8fxIiv41XzYFD7hHApxu4/SdVjYbPGFjYK2WviXN+D0QPlbdZEBlIKxGvS2FkweDL5W7+L8a79d+d9EFSJaJlSXpnOdz/K1ALKWTdoS5ckJUZuogBSVVeVPrStIjuNBk0EInn9rkP6hAm8eHsNxvYp9qPWHyFZJCyaImp3q9IL24vOnYKfmj0ygTe0ZkpbDpfPOsHz9MezaAs5Ihjd+vYLHTsym6FkVWiZfIASZjMOdM0+z7PKjtE3LMZJLcvDAbJ59eyEXx2tLD0lEMNYwCHShyexfqzLFYRLElez86hUNfOae6Zw8Nc4/PHGBM10F9vRP46VXV3JL0yi18weZf+lJrj46nXPb1pD3T+cN4T4Jxv5OsbFLFUGRiF2U4TO2J3XyHxlGlGmqJwNbWma9XxSQTFjccFkHv/PhlVy5qo2EXZrI6buFUwpC+YuwLow0Q/5NuiyeXcfn7llGU32ab/3iHc70jIWaWWQBKOSfDW1KKGkR/68zqrSfoC4qOvKHSBZUHitGzWTEWMdICGhKpChabrlJizC/IWEDAMO/+nVMeA+f4wgQU0LcgFFwbkDww+2lna9cQWj5QwgSESq27skEMxhA1TTBDHuUq27+OwrTz2NPZJh4+TM8enwzY57N4FgtY/kaJkbrcNXHAyIWo2Oj3pfSk3h8cMYO7r3h+7g9HXzhxT/kosxOQSa4omaIL9/wbWrbjvDKk/8ff987R8th6LCM9zBOgscO3M3G186TuvG7FBYf4roN32XLC1/grFdnoOXL8m7wN+Wbio71+2pl4uzHZGulkLQlV630+N0PeVy90iVhFUOTRv2xBz9OH3BN5vgmm3iqcZ7n0VBT4OObk9SmBf/wCzh0xsYLVoangovu9aeCWTxOZgdowhjM7aG6rosu/GxbDTuPpjndP9kj4HFymIpona3WwZfYq9B2PHjxQi1buiTjrkVw4IRKR51MhOiLgHToQu0QpCEtiNI7d8OEI/KuoKh04P5JneUsHfk+Pr/0RziL94Dl4e25jH/suZO+dJOCkVanPtAOZC6n17RCrg+8YtTEykQHk7U8ffJ9XDh9KbuZjptKhHQgPI8rxg5z34Z/o6dvDg+f/ghHMzOULsCAjYo1XmXyaNsgwbGSPOdeQcvW+/lQ2z8iW3pZu+FpPvnLzXxLrsKzrApWgRuuMgjUZVP1HdKvMmnQaQe60uq1RPgD0cY6VVvS6IsKvaQN1813+e+3wap2F+mVFr103xR3wES1BTD1YAo1zjTYU+M9z2VGPTy4LkFN0uOvX05wfkTdu1dkU12NjrHafi0DBno8hDGWVNpE6LFelDJC+9XSCF/3TCT4+nNtjDkWFybCdh0qY7pX4/WJldAq1yeWaj5ZyvfG2yPsemeEfEHiuoRp+OMSkw+M1Fv+9QDLMAkwLuRo+Yy0tDp8WlRkmNMyzK0b9pGd3Q9ScHDPfB7ZvprB8WylHnWcFbQNQcJ2eX/Hee746Bbq5vYjbA+kxbxLzpKqy/PT11czPJ42yiAELJ+XZeXiGt4+Os47J3OlxVlfPvUTKaZJWwVExS9VsFi/vI5rLm9kRmuKR9/o58yFPLlCkqcOz6dp+wDXtO0m1TjODTfu49CFTt483qmsMfh1UcEq8sqFwpofgvyy9N6i+sSEyX+oMoBGV9Glbisqj/616scUnJIJwU3rZvAnD65h5fwmhPBK3VrM+En3WYFoMeOruAV4vVyYvqSzNcODH1hCKmnxTz8/yOmuMTxHwUzFVNWL3j5D12E4w23FQFB/vDtoUgZ6qm5NbTFoF6X2MjDk8Mc/PIaUcPDUeDhPiF8ZlpEYHVcJ7+JRVdVT67/+tYikzW51efCaMT573Sh1aRNDOl2pxKNdqy1BxuSNK6unV/4yOHx82XN0rnoVkOQOrubv3ryWc06GIZJ8a889/O3f/oi/eOZrDJE00DHJovNbuk8Lj6UdXSRXvkV67U6yOOj8hOWq0G9oOk3z8tdIrtjF/M7thjImo42jDSfytXz31zeRP7YEmcozf8PT3L9oC1nhP7IqiOInNLpqPXqI1mnmL65cnCx6vMGxG3GU2Jbk8qUef3Cfx7WrXZJ26Wh63UmZVuNNAy5hWeW2HB6cqTR1pxY3OANJbabIPddKfueDLvM6PIQwyaLKPRWMwUzD9FstzezI43nR23OYvkTSMyI4cMGme9iKyaeHmPYhZfk9Q6mYbvleqvflcrJSPoHk9lmjfGXlACub8whV98H7jMqfL5qn1k84XVbSRMjZa38hPmWlQ/GL2ArmKi+eVh7IuBN8JLuH2Wteh2SR8Qtz+Kd9n+GYPYOgAwpE03iPDBaovLcpKU3YrGQlLqQqSdFKsTdzCT9Ib2ZfeiXBZFvR47qG09QtfZs5i96iPdtdwrmqqqXyeQVJ8KkO1w1wKNopXsnfwdlddyImUohp51mx+tssck5X9BhqMtqgXI1T5Am7HRlOutinaQAAIABJREFU8wd2frz66HLEPFWMFXo6xmrwdavyXq4raUk2LXD4480eqzocpOcYJ4iTreyH3hEqV2JZYFnRx1WnsjMghMBzXeqSDh+7DL56bZHOBhnQjnQncRir+Kg4BvauYR9grJQPJvWqrrVfn55JXxpvBRcOD6U4OZIsHeClD97UzHG27KG0JxmmoQ4O1XYIhA5gEYJr1tTzxbs7uWpVPXbowFFlDBVMag2DQD0t2MFS/ZaSrmLoKbwEtBTDVh9plD5dQj4tmyly26KTtF12DivlMnq+iZcfu4bu/rqyGsv0gmpFSI7adIHFmw5QP78PK+khLBC2R2baKNesOcKylgGFLRHis7EuwW/fOZO/enA+n7ujg4a6REUFkvA3KU2LfOrEwU9TcPrVrkF+8fhFfvzMRY6fnwjS+sZqePyVNXTtm4FE0DS3nwfWHKE2UwzrXIiKvn1e1Im5D6J6bZrc6umB/0QJQqnbz6fqXdOjLrOPm4ZTOmGx6bJO/vATq1m9qBkhQi+VlrOGX9uJe8+x8leqy7KiC/o6zeiYqpLmeS71WYuP3baIz9+9lJlttQRf1VPlUrEJ7FjVAQbs1PKE40P3CsZ+tCRKx6ft23Goj1Z4VHTvuHDkzDhHz40zNu5G7DNCW7e9UHupHt7FxDHk9bV7tOtKmD/N4zPv7+Pzd/VQn1EbngqoWl6NN8Wp5fV4E68mECrlBYLFdRdYsfoFCk0DJMea2bv9Pt4cWEzpCABBL1leL7Zyllrc0OOhOg96vVF+x6XNY8fW8swvv8RTT3yefi+tyWMqVwrv9Czl5898iV/98ks8cWyzoYyMlDHTLvHoIXitexVntjyIna9lor2LtateYH66r0xBGmiZZJ8cZ4z0TDT163g8wiE0OjT+CSFY0Cn5yj0uG1e4WBTxvMoR0AElGd4V9H/VPJZlYdlJzvfC3mMWA6MW+0/adA8ksKxE+f2TCi11wghE7pXKqU0XuWOj5BO3uExr0HWqym/SdxxOJhqm9qTakSmvWrd6rfKitwW9jtJ9woI71o7xNx/t4c61eUO+ajalR2uOMBSH9uiaCL1XmLQldy4c5qs39rGqYzx8YKjpQBWfhjq4FVp9gRNWxxvldEuRTxLlPRjQaoNplZdQxwVCSpbKblYt+iVy2gVEMcne/TezO7e+cqCXOlgNdRQ6jtq1f59tBTtlMJtyPkuJV1fPAWlZ/HJsLS+/8SGe3ncvx/ILkKJK96PgKZAsby7wwfmjLGsYwyr0EbxDCZyz63no7I30dc9F2g5z5+/h2vo3SHnFcAet8qbiEVGtMN+rsqrx6oFIAcRl+dUDDXRc1euIDjTehEBYcMl0jy9d6bF2uot0i+UkEfyaVu9N7xFZloWwEpwZlOztsukbt9h5zmYwn8C2beME0vQukh98P+d5HmlR4MNr4GOXOtT73Zse4jDW8fGDJaJ60NMiOGrXER1oZfQ2XJKMtqzL/7q6m6+s6qMj6yppfj6l3Zrq99tG6DAM1XH4vkkaJnrqhE5y4+omvvKhmVyzupFkwqqkqRM/9TqEszrB1SavoWxq+yj7IE/nRReyTE+tn3B+gWRDc47Lrt9Psi6PO57gledWsnW4VmmXOg5SiYc6WaShaRhhh21RCEmmbYxMc05RXXS8mk0myDTYYJXbRzBJ0uSWEiEkdZkJUrYTxkvHuozTniNjfOPh0/zghR56B4qVNCk5k6/l2ddWUxjIQsKj7aqDXDfnTKDX0AKIrseQvfh1lv80jMN8qfm1vkVdxPT778BvCzONCK6KjpHYlmDtkmY+d88yVi1sKn8zNuov9IVzfRwkhCiNnyyb092jvHNiiJ6BCd482MfQmEsikYhMEKu9L6nX3VBj8ZGbF/CRzfPIphOKDpR2IBVMQhjrutexVNJ0fKeCsakdR2xCpVexjcY6mz/42Cy+dt9MlszOKjLp7TIESIUnFYdJwnt4VBViegKfk9B176jFC7ubsG3JRHGqNDWnGqFt+o3noVr5JJKrOg/Svnwneduj78hKHjqwiYngNFKVvsqrzq+aT+enEuci2Dkyj73b5uBhURRxvEXpnHFS/Gj/Ziwgb3zP0lzOzH8pjJLkR3tu5I82PIx1yZs0r36djduP8s6ZabihdQWJWWYTBnH5qqWb5DDZWZxR6zSiOLbUSR68vcgt6ySCsDHGPYKqr3BZloVtJ8jl4dkdFg+9YHGqW7Cg0+OxX1u8fULw4U1w06WCmoyN6zpGunH0fX4bahzuvynBqW7BT14WjE3oMup2E9d+dCzU9Gi9Si+q0YhwbqBlao96XZU024Jli8a57ZY+zg/W8e+vx/E6mT1BMLgIfv1k33Fq90pRVwre6klj7/c4M5TAizOjYPWOyu6BvyOoftxdKvcR9mVlQAba41F+3nI5P94zlA/qK9FJegUuzW6lY8lbOIkiF88s5OmjtzOUqImqUGr09AxSq0ddtcyW33l0C9q7UTrWIqL6kzWdXDj7STxhUUgmNTwMPJbTUpbkq5cPctmiYV7cX8s3Xk8yPtEPmRawbDxhsSO/ltt33UpL50nc1l5unP8sL+2/muNidhlDRR5TXVMJPk+IKN8+jOoChYqdCWM/6BgHecLlpmU9vrjR4er5HglcTCHOd/nXvv/qzQleOGrxs70Wp/phQbPHd3Yk2HZG8sBlFuvnQDZp4TpOZGJqfPIiNJDzaMk4fPqKBCf6XB49kMCdKsaq3CY8VJs0YBSmo5TzbVKlA+FTLU06QVCXdLltwxCHTmR46HAj53LKU0ehbkuzeX04oLpXT+PZb/e+j9L5LMt4uGucF94c5MjZCTzXi2IUd63QqPAqzfmkTsP3mQad+CH4vIMqg1CqlNTVFFi3/DAN80sL00N7O3npwGLyBeW0adDKiRDbecui6CUU+6vYZnE0RTGXKsEtFDnKj3AOj7r89c9P88gbaY6enmBkzA3LpJzYagHXzDvO5hsP4BQtfv70Zbx9sTPMZwgHQdGRXBxwohgLgesKXj02h1u3zmfG7QdItY5x/cYDbDs3nb6xWgLjUPsoNeh+NVS1hnVc2xAo92FcS/kNsumTzsiilp8m6GzN8qk7F3Pt2nZsqzI5NO0m6kGNs+0E/cMFntt+jkdePE5X7wQz22r41mOHeX1fLw/cvoArV3eQTto4in+Ko6fHSSlpb0rzxQ8t49CpIZ547axhuKjLHAE9nC4J7xKbcINwf29Kh3CaX5dqzyFeK2VrMhY3X92MU5Q8+8YA+4ztSLcJgy0bx6Th8C4+x3FthQFjT2t2Ur2jgtcOpnlxX4bh8fIL80Go4vSNk4e4OP/PNIiuVl6wIN3PH7zvfzG26Bg4SZ745jd5dazdkF/9q8ZrXL5KnETgYJW/CanyrdLSZSldu1g4WGUNxNUnYuiY+erzElzWu4Rp6x/DqR9lnTfCS4euZ0imNZomvkwYmOInu6+Gb5wcpsasT35K10lbcO91Dl/9kKQuU5nMAaFJY1woPZKaYDiX5NW9kr/8d5ufb0mwYIbk93/D5Qt3eSyb4/HOGYuHX0qw64igNgvTGhOkkhKIrqpVq1dKSX2NoLNFcvSs4MxFuzzmjdqEgVsDLtXSTfmqYRxXn4kvk32X24EQOOMpjh5r5LVDKU702ph5ncJ9oyh9jiPYRdAcotFBln5cKdjXl+WZk/UcH0pXvtUqtPw6HVMHquXb0HaGNfNO8P2dV5U+x+GX8XcdI51yuXzkm1JCq1NU6hWC+d55fnfF93CW7Ydiinde+DiPj99EUd0h1HkNyofxQJRO7OzIOmSSkoJXevIiSE/VlCaOeJpaRYROJa0klGMncYWCQ4AFsXwmhOS2eTnaW/OcvJjmlXN1OB6lz4UkMiAsXDvBgf653DjveVKNA6TrRskfmMkeViDV3aoAd72umBCRRRgwVGRQvwVp+mahyU2a8mn3NUnJJy5z+c0NUGu7SBn/bUY/6J8PkiLBYD7JM4ckf/WSzTOHbZZMk/zRTS6f3eCytE2y7YzFI3ts9nUJGjKCafU2SUs1O/P7kdFHYyUNWZjfItl2Ci6OTeHhJhPGQosP4aXEmVyeqpu4tqp+j92kEwApGOm1eO1kLXsGasi5iizV3JNu/84EnD8A6m6BKltoIuf/hReaDp2e4FfbB9h/LEfekdFywQ6G7nd9Ego902QwlIa20BYzkQdzmWCiD5Ylubx5mM13bKeuc5jx7np+8cLlvHl8Jp6n8aHLE/AFjiWY7rosXNyFnS7iD+jdiQQ731jEC7uXkHNSWrkSXQn0DhY4cnaCviGn1J/q7zWW65nTMcTvfOI55qw9w/R5fSzu7GfXgXmM5VPRxT8V69D3C8PyFD2bCxM1rFlwjkzzOLW1eQonmznY24pUHb6OReSXcChjrNcX4lGNjwtT0UHMdU3G5oH3LeTBO5dSl7UjO4qlbBXGjQtQwmJw1OWpraf5m//Yx9Nbz7FqYTNff2A1n71rCUvnNrFt/0Ueeu4Ebx/rp6U+Q0tjllTCLrNjHtOZzpYAaKhJsXROI1t2d9E/nFfUacDN/w3eXTe1OQOW+rV+ENVkugm1T4WGXlYKJJLxMY9tB0bYeXiUwWEnKk81/sp+I7ngv/Q7jtcS9YRCi1MbUum3uUayYobH9EZJz7CFE6y0TWXSWC2fCoTBSUaWEPQ8EgvJ78/fSsutP0am82TfuoX//sa9FGXCUKYavxW5E3ik8Ci93WGSNY6eHjcZBuF7G1n+VEjpEdS4fCZ6LhbHxzLc2XIWd/YRim09pN66mjfHpiOr8mUK1XD6z4bqGETTKumXzHP5xqc8FkyvHFevr4aZ/izLwpMJeocTvPyWxT8+Knjs10mmNcLXPuzymTtcFs2UpBMOC2cKblgDi2d5HDhl8egWi91HJKmUTWtjgkwK5VMbVK0XSv5hWpMgYQt2HREMjU2l7fxXh2r1TJUPcx4p4dygzc6TCU702sbNoCmHRsoTR8zrWlWCJWBJY55FDQXGHYsRx568EJhdDmEeNrSdYc2CE3z/zasoeAnFDUjzd5lQaKiEq0wSLM/lVmc7l9zwE6gZRx5awf/e+xUGUq3x5fxO0KBDW8B100f5q80X2Ng5zvG+NBfHbaQ60E1o33mM5T2MRyRN/0SBgYbrwe6eFG+fzvLUyXr6/R0KJDh5sEuTx5ydZfF5mLl8K2RzLM15vHj+SsYStVG66uAOUdmJ1PkJdW+Syqp8uZxOT7c/GSe4oQ598aCclrAkV811+d3rJLMbzN+YNZJVJowXRhL86ojFP28VPHM4yZJ2+K2rXT69zmNOo0vadlnSbrF5kUdno2R/t8Wj+yzeuShJ2DaNNTbZRLw5GVf4gfY6C9uW7Dhjl7/hTBUi5d+4HVg9n3+tn6CqBqMvUCdKMXSVMOFa/P/EvXeQJsd14PnLqvpcez893s8A4zDw3hMgIVL0IiUtpaV4Ckor3UrHiFVoRe3uKU4rbexKu3tLiuJJK51WtCIJkqBAEISfgRkAg3EYjMFgBuO7p6e9/WxV5f1RX9WXlZX1dYOKC2VE91dVmfnyvZcvX76X9vBEgWNTBeZr8X6laZek12etDCMnwA/vV1MyCYgcxqgI1WAMgGxYVWDrqgISmFlwk/ZmCFf91ZkRxaG0yxRGCIgd6BGbSVFlVc0j4kY2krZcjQdvPsb2W8+ALTn3xkaefuk6xiu5OJ5pDn4dpudaXJjsIlOyWW5VEBaUR9s58OoWnn/xei4sdNRVklBo0uEopFpSYW+DnmtbJrjzvhNkOsoIC9xSlsP7NjNRyTfqRGowVac7ZHdUrwH82dk83YUSm7eOYOdd/PkCZy4MMlvNNnCOOf8iDkPnixRES4hjsqPqJi1vjC8pPIrVR/Nnx7G4fWc/v/eZXawaaMHzvJiTpu89DLIH74F9ZTEyVeGZ/cP8xfdO8NRrQ2xe08nvfGo7//JDm1m7rJVcRrB1bRfvu3kFqwdaOXpmiu8/f57Tl2ewLJuejjz5nIOllGOa7VSdSd/3Gehpw7Lh4MkJitEdjyqdGo913ib4psVLhb+hnOhyoZenw9Q+GduqJajVfN46W+LomQUmZxXdoNebcdCjAS+zaXxRx/E9LFVdQgeYiAucxj/4zBhOxuOz/3kFV2ZMaX8WQziqGeU9zcExw+4TFXbsfAq3bQ57oZXHX/w0FT+jpdLhpoc8Hr86cIw1q97itVMf5MmFTm1WUcUlDT+TY9m8bBvJfe3neHjTK7xz8W7+fnwNbmL/UHMaht129h54P3df8zK17hnu2PUU33hmB5Pom1QW40WzuMXyNnPSTd+bOeGN+GxG8osPuGxfR7SnsaFIBAgHiYWm25ASZuYkr58UPHXA4sR52LxS8oVf8Lhzu6S3w0VKn1otcEQ916U1L3joRsF1m+DV4/D4qxZ/9h2LXRvgg7c63LBF0tGa5IGUIKQLuA2DT0oylsf9uwXPHfK58qKg5qrK/v+v0GywZqllL57WtuDmdS7XrfY4Nmzx8jt622sGdykDOkqI6cd4nqzl87kdk9y7Y54/fW6AH57uxNdPHv0nBKPvoBowuqMRi1vEC5aSruo09619Ha97GqoZXjn4MGPZ/sDR05HQO7fQuFOMbxvJ6tYa120o0z/hsepEjePTucYJvyGO+V4oT4BbbcA24tgMf4icshA3lfZ6RzdUzDK0kFGMshBfDyqTkOvBFxY/nL2dO8+tpbbpXdh8mgcOD/Edvw+pj9hEQTG2ErDruKhLtIQhPsZj1eBQYOpdgK/BCOtE45WQMNDm86FtPht7vYT+ApBWJl1/FSX7Lln88C3B5Rm4pl/yhw+63LwaOnMe0vfw6utIq9Uq7VmLj2yzuG0NvHwOHj9h8+d7BTsH4cPbJdetcGjJkgiB/vKCq1NozCZYwuXBTRmeP+Pxk7dtamkDx2r9x06TTJQUyGxsiZhqqKn1o5WhGnMh3MS1HUkntDPr8qkNM0yVHZ4bbmGymrJUVYURznLKlDQhPvqStjBCpUFxMD95Tx+feKiXr/90lK8+OkKlqkxx6fB0eiKHDrNBGieCeAIDTpHDpNEQ6pT6bKAQMNi6wDVrRrBbq9Rm85x8ayWXyrmg/1Ud2hhzdBSCh9linu+9tJu33lpHtnsBr5zhzEgP09VCvT8nznOVLyF+0UmaapsO80nOFTuYfbsfp7WKsCQTx5cxVG1p8CHGT6WwmF5I6pOil+XiifVU7j5Fftk069ePsGHZFMMLBXxpxfFU7+mLHHe9zur0qB5JWCex8iE5UCjjcFSnMqbLZLxdqeRaMNCd5yP3rGHjynY8r7GEPnDSLIIpGpEQNYlkerbKK29d5fEXL3JuaI6dG7v5D79+PTds7aWzLdh/WKvVEEJQrVbpaLH5yD2ruW37AC8cGuanr17mz795lOu39PLzd69m+4YeWguZZFkChO+h6qYgwuPhW1ax99AIT7xyGTdcU6+yyNJ4putyqfNW451QZAah1KuJx2CU3zBfrFwloZS0tjp87I4efODF47NculKpl6HJAij6UcdPxstOCe9xj6POnPBbCtMQSAldNUkBv55DFXI1vykYBNuIk+nZBKuBtwV8pmcC69rjuJZP4dR17B9egxs74aFZuToOkpvyCzx4/z/QcsOzeHtG2PPk7zIfY3Ean+I8S5bZPE+f7fL561+h9QNfZsPQT/neV/6OWTJaHp1PcVhlaXFkeBMPndtOrXsf3q4D7HhplpfLfUuYwVwansm8Op3NeGDK00xuApoFkpu2eHzsLnAsF8+Lj9YvlC32HJEMTUhN/ws8X3D8vOCdSxbrBiW/8wmfu3ZIOlt9BB6eF783DUJlKRnorPGROx3u2+2y54jDD14U/Mk3Lbavk1y7FiyhHJRDMEu8a4Pgrh0Ovh+/JHewR/Lp+zxeOWZxaRQas8DNeJDG48XiliLvJpl6LyHIn7El77t1ht/4yATf+MHKFMdxsXavyYqvyGDMgFKzikZHWKfD9gTdpQyOrxw4oaZXi9VZr84ehkFdeZQgSTXmNNz0NGmOR50mISWbyiN03LAXYflwYRP7ijdQtvMNvEJ1q+7BVINmPNcQvD7Wwtf29jCyYHNoLB+sFIlYrXQ0hfpVHbLWoNf3gv7HspvTGLN3DAafpdSTzguVq37DeRyWy3n++APcs/4i9I9y28rnePLqemZyXcq+U02m1PKjA4jUZ8VgkwpeOg0mAy9M58sG3mkwYvCCD44Ft6yRPLBRkrf8iO2hfpipOOx5V3J1Pq6/AFxp8eaw4MyExY7lkt+/z+emVZKOvA++h1e/91E/wAvpsrzN55O7HO5e77LnrM1P3xb84U9tblkt2dADxGY9wbYFN66AHcssHMuP6a+V7T4f3mZx9Irk/LSo46nWd9IgTb1yQ02v806dNQ7rFOLtINat1uGo+5MN3ndf3uOLHx3j9Pkcbz2ZizuOxu5OKyth8oi4TJtmVtVZIUXPSM8nUwa7JoN84RUYGGCrcHSDUeePruPUB70OTOl0eiLDWCIsyfpVYyzbMgZCMnGxm/3vrqRccxpwYvjpdUDYSRIa3cVqhkNX++Fqf70O63EhLJUPOn36iaWqw1Rvo6PFNv7sH+/nfYcvMmjl+dvzK5mvZKP4BE9VB1IIGka+xmMpOTDWx93n+9m2bJrC8mm2DA7zxvlBSr5WB7pcNRo/ySDifEz0OoreARqzaEoDUnlnshcNPM04Nrft6OehW1ZhWzK6FgiC2cTp+RrP7B9mcraCvpS0UvM4+s407w7NsmNDN1/87HXcur2fthYHKX38uhOq760GyWBvll98aAP33bCclw6P8ONXLvEf/voQ123uZeOK9qC512cJhRBkMza7NnVz3abu6FiCcEn9yv4CH793HW+cGGd4rEhM0CNaUfS2gf/hzHWYR+VbxH+pyY/WpypOYFKmFFDqtxCuFHS22/zuv1yFW5OMfLnKpfBkXwjq2g/rHKXORXx5ddrgrxbeg+MoDL9p1kCImOD4sM2//voACJhc0GFEVoOSX9e46re0Xz2vqUeOh3ZqrNrwY7z+IZxiC08cv5uT84MKuBCWDsMEP0h3ueZwbmgjO/vPMz6yuu6EpuEXz5ssI40mPY+g6FscGR3kzkvXMHZ+E67RqG/OE4ngzdmVvHH6JrZtO0DHwAXu3bSXN459lBKmvWdpCsqURv/WjL4wNKtnHY5eJ42yO1slH73TY3kf0RLVqAQhmCs7/N1TFm++azPQFZykFkKpuILxabhzh8dnPyC55VpB1glG6XVY+iyA7/tYlkt3m8UHbxd0tbp8+TGHH79qs++4pJBt2JI1D65MWHzmfYJ7d4Nf9WIwfd/j9h0Wd+30efRFm2p0rk863YvXvyDJY523Oqy09mSSa1PZcbx8H65ebOP0vhynh9Xl4c3gpukKPamm4PVOT7lot+rBV4718O3THmfnMuZRcNXITBibxDt2NR2NDiwgWsZJiK5yqP9TnTJZ/xfCUwms41PwSnyi7yy53jGoZTjw9h2c9jeDrZYnzEtCEx1dQINEcHI6z799dTBek7FqFI1v+Z7gmgxZI++VuJNDzPqtHJPXULLzSdHSeRnyV2WM1B7UujOl84OrOuZznZyeuZm7rjyHtfI87ZvfZO3QNG/lOoO9jjHc9Tomzn9d1tTDCUxpdB6b+NWUVuL8AXpaJQ9v9lnT5RMuUW3sCRKMlTL8zRtwatxisA0ksm6fSIo1i6tz8IEtLr99m2TLMgtbukht1tJ06E2ov5Z32HxkByxrc/nT5xy+d9Smv1WSdazIDqp4MFMW/NYdFluXeThUUYNj+9y6xueW1RZDs0F7i8l4xBuFLxGPNZ4mHDs1q5pXAac6parxFaa3DPWq8Ljo2hw82MfZGZivKcvYVfxM96DqZZpkOTYgktKXKum+vXecF47NMjxeoerKuNNogqe38ZBPQsuTYLWh/zA5s7rjFZXVSN+SrbG9d4L8wBx4FlcOr+OS30ZjK48g5sQkYIXPMklHGPRrRSL6m8ADYnvWlPRSCs5OdfPXU92NHi2cvTHWl8pT7V3DeaaY5fizW9i6+xxOe4WbNg7xk2PbKM20JfFSeRzxGqVeFRT0g9ZibULG46IL5kO+pfBMl6kwT/2nrzPH+29dxcr+QswxDEAJJmZr/MV33+bKxALLugux7m6h7DI6VeaDd6zkNz95LdvWdWNZfkw/pR0sGMT7rOxv4cP3rqOrPcuff+sYj+25QG9njkyonwRUaz4LFZfP/fwWtm/owbbitppjC27bOcCtO/r50Z6L+DJFzqLBYK2uRZwnUYTqgIc2SYOA+P3MehsK60Lt79W6bwhl1J7LZZ/D+2eoIRlfqCXrMFbnymOoI2N4Nw/vcalqrGUY4lRpDt4rLozNWiBkfalTrDc1wFoc6SQOhg5mETibshV6Np7Dy1Rxhjcxff4myiJxIgVxmtTeSI0Lfi95ef7utV/ippP38/TECu3kUxOtOu5xHgok7dRYYVe44uWYlZm67MVpn5cW3zx9N+eububQbBdllD1ARhoMHTUwJTNMXd5EZqGDSvckrH2HwjGXUgKeiT/Ngl4/pjy6/CzGMxPseJ0LEew3vH27wBG1xEBRoJiCdnXrtT7/4kGPQs6L8i6UbV4/aXHqEnztaYt3hyV377RZ1S/IOj6+78VgqcG2baquzaUrsOdNeOmogy3gs4943LTFpzXn120Nwei0zZd/EOzlavRJwUOoOFvzkvff5PLcIYvRqfB2NJ1H6rvOI/3Z1POYYOlpTfDVoMNNa0+SmgffP5Lh2VMOs6VwkKWZbJjiNeMtTbzVWYfIQAm+SwHTVZuqByXXihsfSaGJ5U3SpXwP7QwVoXDEMnQg9RF63cFIlBM3jtprczg7XkBmqjiTPVydWcW8VSAW9JHxiA4Fd90QQ+O0aVZE5UmhB0qT7Fp4h39xz98wV2rnb09/nqPV7UROcSrl7MWMAAAgAElEQVQ8ReZUAyakN81YS/DLQ5anOV3exOUrm1mz8jxd/cPsyl/kpL+SmpVRiNL4kKBPxGXHRHvCUZAN+Ujw09RHaUGbtREWbOnzuHWNT8728TzDoTT1Yu5cK/nczepSVpgu27x+UXBm3OLL++DeDZJb1zis6vRxrCBtgxQR+7Vtm7Jnc2ZU8OI5eOOSQ3cL/KutHruW++TtYPbTsgQXp23+534LT5kxiTmjvs9gm89d6zyee9difL4Jj9N4bYpPpNWMrMX4nGYgqzM7QjBWtvk3r3ZQ9QRjZYPJpMNJpUf7beYoqganENHM4tyCB1SZm/fj6SPcFV5oDlwEz8Rj/XszPsdUfBoNDZidXSW2b7uEsCXlsVaOn17BwnxOy2Duw41JojIMPFbrL3w34icb/FJ5bBK9KL2ChN63JOTQgHD91fMEr04O8v6xNrrWTNO6dpqVXZMMxxxHNZ9olG0CnWbexdSZSM5Op6CZ0IMmnAi6sk2rOrhlez8ZR+BrhxSEOsCXkjt3LeNzH96C5/oRmOn5KvuPj3Pm8ixfffQEd+8e5I7rlrGyr4BtiaaD85ZlUa74nL48yctHRnn9+Ci9HTke/OgKrtvcTT5r16tFcOnqAn/349O4nh9zbhvOqU9/d44Hb1rOs/uvMFdUTtxXWRHyT+uOYyHivzB8S+FxattKSa8CDOsVmJnz+ONHhwCC62B+lrDELTo/w4zjEgw4Jc+WZR6/92CFfEbyG98uMDGv7zUxIarDSlG8TeMjjZBIayHZ1nmBwRWnKVmSyyOree3qRu36CR22mT41eAhOua2cmtiAmUdNW3biWwsuv7x+D3fe9CRjJ3fzB8c+Q4XkwR0SuOjluTi1TvliKk+nJx6q2LwzuovbxlYjese5aXCU61vmeb6YQ6byPoRlkg+TdmuGQxo/TM7IYgIuKGQlN22VrF0WjNanHSVvWbB6AO7aBR2F+hLSevQd2yVHzwr2HoFH9wr2HLG4/3qL993gsbLPwve9yIEMD9ORCC6OOTxzAJ49aDFXEtx2reSBG3y2rfXpaJGAX+/TBRfGHL75jLmPC/GVvstN12S4Zo3P2LSoz4qpvGhWz0tpY3q+5rxdev4UhUdQB205n2WdEqRkfN7UXpdSZv276tSFn0PLWm+OkmjEL2NJfmXzDLcN+vzViVaeH24x+4TRTJkHnkugsWUwdWrVHV9hg2WD5UT5GqAUZa936hGuyrfI0dRxEWCB5flsY47ewUsIy2d+fC2XZm6klsnEhSnWhOplqzMkeidmFC0DPB1uoRdn2sMbGKOzMkPXhTmCW2+Elk83qJT4iM8abJQ4dSmiiosvQXoM+VWGR1eypprF6phkWe+b5MeuDxzHsOMXQpv9VXEQZp5JpXy9s1fzoaXXjXpdHlN4XHDg1jU+67riBo8ebCFZ0w33bQJfMY4kgns3wJsjDj85Ifn6IYunT8MHtlrcu0Ew0FrXi4oDaVkWrrQ4N2nxzDvBlR2eDzevljy0RXJNv09Lxo+QtyyLE2OC7x6N46Tfp5ZzfG5cZbGp12d8wbCEOWYcKzw2yZnKr7Dew9NyVT7qKsMkT3r96/EEp/oua3EpuYKpmk3VFcn6jn502VY+6b+646MP8Ki/9aWPH7mrlw/v6uKH+yf51p5xaq4kWnYYo0/JqwaTk4tUrtMIv4fyqqRRea7r4pSZPWFBX2ae9mtGAUnxQjeHqx31IjSbQBl4EUIEJAkZrIqOaKKhu8MZQL18XV+o3/QBgthVSDKeL1YPUYM2w1u0fGJLBSerLUwdXUHnmmnyy+a4u3OOAyqtQibhpOllodEfo1mtN1VGMASFjmjpr2iUHT7X4WUdi9t39LNmsCUasAqKj+sqy4I1g23cf+MKXLdxor1EcO/1gxw5M8VTr13m739yhufeuMIjd6zkrl3LGOgp1O22xkqL4DAdODu8wE/2XWTv4au4ruTW7QM8dMtyNq/ppDVvEw6tCyE4eWGe7+85p4lr3BbMOoJbtvWzZXUHB0+Nx3V6RIhe32G81tFHOkjhdxqPY3A1Hqt1GOaLUFIqsr5M1rIt+rszSGBu3qVY0vUJDTnW61iVkyZ9TRje4x5HTVkkvulSKelt89m4awIn75L/3tollrNYGaZnEwxzK8ng09F9Dtl5FeE6eOc3MJI4FOefEvQewhRHKn5hWJ31eHjbcZzbnoeuSXLHfqk+i9mMP6ag9756mSJK9cZcJx+7uI6OrYfJrjxE58BJxPm7wmZoKEt/X0p9mL43q1M9jQmPZLk9HXDLtdDeokELnTFlZih495Ey2F8YtC2frla4Z5fNTVtsjp6FJ14L7m78yWs2H79bcs91Fv1dNhYerm9zeUyw97DFE68LpucFN2/1+chdHtvWQT7jgvRjbNBtZDXoe4+W98DNW332v21Tqui8alb/pmDicax0mvN3MdlevMyMLfnVOxf43x+c40vP9vAnjxdS8oW4NJOt8FHpPNWlIPoyHuUADgvJtcuK3HzDAo8NOYjhQgOm54JfDa6f8GsgvQbMtBH5qAyHSnmBWsVNdKbGfLrhEZtB0EiVYOOyqecI3Z3D+J7DpSsrOeb14uesKI2xPUUdm/IewpbaN/W76rQlaAnSHe27mX/43h+TEYLDuY3giDgMU74EHjq+obGnMkDDL8wnoCIdrp7ZQO3WVjK90/T3DNE9UmYu0x5Pr+97W5L4hnWufNPrSS6SvpkaVAzb3hbJ3RugkBW4bsMoiwweDWHp+0hlfzTSoztvcd96ye7lFoeHJU+/Lfjb1y2ePmXz8FbB3esdBlpdhPTxhcPZKclTp2xeeNdioQr3rPd5+BrJlt66wyg1A1GYbQ39qiEBrOuW7F7ucWjIouo1YbbQeBZ+azbzm9ZOTN/CtKZ9j7G8wcPygsu3PzDDsTH4wiu9nJnLmutQv8tVBab4HIFhKNJPFA5pMuC/abDAdbd28sZIKThBUtanydQll2l8UoOexkr5rtJgdPSUeEg4HJmMzweWXyHbXsGr2Uyc6ePqVL0dqoZqHUTGEWxf38oH7+hmdV+Oty4s8OOXp7h4taJMxMrobsaIV6oA1mlwhE93a5nO7iK25TM32cJ4OU+1ZkdtLCEAJr5FBSs8hqTQm/JFuAll0AqKJYe9x9az5uFT2G1VVqwbou3sRubCmVihwlDrQSlTKGWozzEclOeonSgOSBoJIiVCAd/RnuH+m5dTyDnUarV6EWlXjAUNIHQCQx3V05HhgRsGuWlrL4dPT/DjVy7x1R+8zRP7LvFzt6/mnt2D9HRlsZD40uLc8BxPvz7M068PU6663Hf9IA/euoJr1nZRyIZlN3SUZdlYhj4reS4FrBls56Zre3nr7BTVqnJPbsJZNJDWAKzsxQ35lcJo9TRcFZiqp2IDEiEYDZd6O+rpsvmvn1tLzZP80Tcv8crRWUO/pHxQZ0+lkmgJpuTPcDiO6Vk17GTs2+mrNl/6zgCWBTMlUx6deWnOjZ7HBEt9N+UPQlb4dPaNUe2YRbpZZs7epizHNJWX9l13eCApJDpfTPib8Jacq2b4+8O3s82vUjy1k7K0zcougZMJnzQNEU83SRbr8lqEZ1PuGyfTNYqNVO4gN9FnKl80+WaClVanpryL804IWDPgs2Wlj20Fh3Xoa+YXuwetAdqjNe9z2zbBtWsdjp+XPPk6fO1pm5/slzx8o2D7eovDpwXPHbKYmpPcvFXy0M0+29f6dLQEp3mFSy+Sd56Zgx6XcTxu3OLQ3SbrjqNKd5TL8L5Uq7VZe9RlPq3NmeCly8WMlJzDxVNHv5eMn/IcGmM6XrFOW8aj623J9QXfOdnF65daOTTSgue6wZ1rfrk+s6iUZepA1FFCdfO8V8OtlJmdLSKLo0B7cI2Fk2vkE2iX0iuGhlpmyJtw76YlcHyXbN8F/I4ZRM2hMr6Geaeg0K3gFrIs6nREI51uqCujyrFvGN7VIGE+08ae/oeQpYngOLSo01XTGWRWNbpDXBI0GPDU6QFqVoZ9c6u5friNFd3jbO8eZZM1ziX6kOHeVqHBSMBFW7pmwC2VLh3fJjxOGA1BXlsI1vf4bO3zoyWl+v5sU1b9GPxA50i6coJ711vsXm5xcEjy1CmLrx2wePoU/Ny1Dht6JPsvCZ46JXB9uHmVz0NbJdsHfFoyHkiJrMtp2hH7atDvTfN9n/acYPcKi84cjC1IhZc0ZHMxHiMVHmrpE+pISatHqrzXxVHbr+gLyUh2njkrq5WvyB80cNUNeKk8hOU2O9BGzagNJj1xcJJzwyWOnlvADa/1UGVZH4hScdMvH5daGarO0WetIjtGx1uDoe41FAIn69G7YwiJxJ3Nc3B4kEpNXxHRwGnzqjz/7pfXcOfN7WQKNg9Pu6zqKfDfvneZsclqADucPdMdPgXnNrvGTVsu8ZE7jtK3dhx8QelyJz89vpXnDm1ippJXaJINuDG61V+Nx1KJC/seQdxx1tMp8DzPYthroTrRQn5wjpaVM3RnS8yRJ1ZgTI4MMqLqJ0FDJmN9HI1llmo7M3bZev+A+RnYsKKdbeu6YktKTfclmkLcwfToaLW5Z/cydm7s4cDJMZ574wr/64nTPLN/iIdvW8X65W28cWKcp16/TK3mc9v2fj5wx2q2rumgJW8DyXuylxJUXAs5i91be+l+8SJXJ8tqoviv3vep/JHEV7WofGvGY71OItFU9I3Q6jjMoMBZsMGTCsxYmXG0GziqcmXo1w3hPTqOaolqMBUaIDQ8JfjBwSxCBIeNJPPoSJqQ1tOm/TbDpxF6bI9tvfN4uQredAcvXbmWqmEJaDzvYrgvxvg0HqWXV8HmyeGbeW74BmrYVIWtpDPBkQY4Jnx0jdFIV8bh6tVb6Fxox+2a5IaOBZ4SPtPSiaVLwkvDxUQnTeJMdRuzLrTv5nSWBRtWSJb1BHtFfYNSiSu2OB66IgxP8+psrXH7Npsd6wRH3rV5fJ/kb39iYVkCISQ3bPb59Z+TXLfRo6Ml2MBtMvyS5ZOIS9yFhGTjCujtkAxPLOFC7QSvVDoXk9O0d9N3E6xmbST4rXmCH7/axpFTrQxPm9Kb5CoFn8iA0jt8RdnrxnYdngvsGW7Fcheo1WaDpaiqslbLTRt9NBkdMQNXBrOWXhVqVuBAZsKLJ3W8RBKmin8dfsGt0J6bQOaqiIV2qnMb8IXFYPEKM9lOyk6h3n+IOOhYJ6KUnaBZoy+tarRnz3agdVnjqo5m8NWOLSGmSjrTTKde59GjxZyTwxvtY2HVOZy2SxQyl7HkFjz9pNdYh64AEShH9uu4KmWmfUszGlTcE6FRvxlbsqVP0tcqIv2RuNBaE+ZgsklLo+oQPLrzPvdvsNm1XPLmFYsnT8L/eMnCrg943LvR55GtPpv7JO1ZH0v4+J6f0F0qPqZgSm8J2Nwn6GnxGSvamsxrsIw81mCqRwiYjhNINR5Fcq+SWo4Vr7vRYobff3w5C67NlWImKTu6UhEm2dC/a8aaakxGAxYiHgfsf2uOgyfmcF1JdPOBaZBIzRvxS4mLHAwNSXWQRqiwwWiwqnjqCkFKshmX1vVTALgLWUZqLfW76pM427bgxm3t3HlzJ/mOoEK7+jI8cnsn//jSOOPTtWjwokEDcd4BtuVz/dZL/NLHXqZv/QQi4yIQtK6e4aPrp7DwefzQNiqVTNyZ1usEBW6kfxX+1MvvaquwTpS4XMszUck3qiA2sIUGD+ZLBcoj7eQHZykMztHteVxUZSDWxUulruKfo6Dip7YDdBq16lLzx2ZJNRhKHyiEYMeGHnq7Cnhurf45vvxzsYEl/VcIQU+7w4M3reD6LX0cfmeCH798ka987wSyPkZy7w2DPHL7arau7aCtxUEQn8VcatAP3wGwLcH6FR30deUYnSzVyTbwIo3HKg/rfGr0BQZZjeJpmK46jAAQMTmKyUFDHqdmXf74f15EAqcvF816QWeR1OITZZvDP2Gpqs4xsyG6ps/nfTtqWAK+tS/LXFnV8BjzpBu5unIy4aGmE8Z0PZkZ1nSfYBxwri7jXCVTj9HLCb624PFbyy6wedXT/Pe3foF3qr3KFRW69LwX/IySF3uvYlFN3dGc1vMZpSOWVz1eReWVBJ4YXcW10124nVPctuwwbZmPMF3taEJfWt2YcE5LY6JJpMbFKUjKkC0kG5b7tBXSnbY0xZYY2Y9nRODS0SK4e6fP9ZszfPcFn6/80OZ3P+nyyXuhNecB4cmoSRjvZbZRN/5W9Hms7rc4dl4iU+9lSuOjLgc675rVoQ5HLydNFk3vwbMvYWjGYnxBBvuGUuEuDqvuIQWf9GP5o3hNeQrAd7G9Be5fNs6Gjgp7h1s5OZUzdKKiUWzUuSvx4V1yscvLDSyUEqQP1TmozgcOZK5d2e8QliMbRo1UyrWCcgWSNc4kt3RcRggozXRzZHI5v7zip9x2x9c5f/VavnTw95nKdCudDQ1YIS51Iyaq2cRoqlYV0XcRf/ekdjolkOsFOREs8Y3xQKFFKh890q8MSat+tT6UdEW7BXFlDZ6/n9nsKC3ZEURVmvOF3/S7FUM60eJV/pkqWeevjr8+u2rgcc6GzX0eWVuiLPdoZNEdeRHajclDJdTg+z6WkPQXBA9utLh9XZavvuLxrcMOf/xwjYevscgQ3MUoZeMAL5O+XGxUXzfkpJSs6qyxsiPLmfH6yHhIPyn1nvYt/K63xeg7i5srRnjE6w0ou4IjkwU8X1D2rWRdQlxOdLkwqTJVjvRBLrW7D/ce1uPuubGD6za1cuDEPPuOzgX3zsUGYvQ+E/O7ni5GsyJbMbqEgpvep2j01EGs8Eu0tgbXAtTmc4xNtSNjJ4Y2yhBC0N5qkw3vOZYghKS7zaE1b8XxMc2u1kN7ocKnH3yDvk1jCMsPbAUJOD5tK2d5+PaTXD6zktfHe4OTlk1tHa1OdOexnkYAv3X9ITY/coKxIyv5z4/fz0Q5r8Ez4SyYm2mhONpBlximtX+OnR0zvDXbG4iUyWkM5UZ1KvUqVstQ00UzjqKRL9b+FB6kOdPKYINlCXZv6cYS4CrtfKkzjo3iGmnDP0sI+jod3nfzIDdtG+Crj57gsb0X+L8+v5sHb16FY9VXbvmeVmdxuO91YEtKWN6XZ2VfC2+fm22sgorJmc4T4k0hrKMwQh0EUtuUhFRZ1suEOhzFFtAGt/ChWpMcP7+ABMoVHUddH6llNtMh5vAepi107ReVov2qaQWbBnx+51NX+MKvXKSzEI+Lp9fhq7WRVq5etgkXkXgvOPO4bSOAJDc0yDwZQ/4GnncW5rntI/+RwV/5Sz541z+Qx4vBiz+rPZYKT39P46OOhymvTptBiafyR5CRHje1X+D23rdpky7xOhFcquVwZjoQAryBs1h2VSsDzOWm4QXm/Ka0aXQ2nntzPvf2z7GyUCOj77uol1HIwbplPoVMYzQqtq+xSVDT6qdwNd4lSJf2gsfKPp9CHga7JW35GuAZ85p+FzO+9LX4HQWPdYN+MEOg0dzgo6kNNZNHmqQ3y1Dztmf6puMAWUfwiVtL/OVvTPFLt1VS8GlWrtJOQ0NaSrBFcsN5eNiGEEG8X4PKNJQmyHhFPrx5mt/5wDi7lpewool9kYQtCPJTLydCo+4MhI6f+qyirM+ceUUojga/kTMgcYRPxvIR6qikuszMEuSceTLtkwGY6W6mai4DhUt0d19hWfc5eqpz8T5AHTlVjIicLbmxr8LPrS7Rk/Ma9EDDkFarBRn/pjrJahmC4J5HK5OsWnX8MOzYdNgqrOhdJp1Iku8LmVbGR28HaeEW5slUryDcWpA/0eRk/DEsJyxTKmWqvFHfY/wK40S87qPPkiwudugRGnjclpWs7w6cvACNhr6IdEuKI2QaJAv/Gvl98F06cx4rO3xaspJVnZKcVSPY5510Ppeqs9SgL1ftyvus7JBkHJ1nil7V5Q8adRC+qw6bIM5r0NSZTNarLq+x8kXs22CLy1feN8S/v3WUFS01rRzlJWZo6nRobSTERU1jGCDQZ70fub6Hf/vZNTx4SzeOI+KyF7YdvW2agopDiHOEvyGPlGZrMQQR0dcoX1iws3+ClowLNYvq1Q4qs/l4e1Lw9jzJqXNFLp8v49dP36yVYf/Jec6NVogM3ghfGjQofG5pK7Ns1zBC+ETLmSMxkXSsmKRv7ShCyDjeKr/U3/AvrFf1G5DpK9HaWaKwfBbheOa8Ko+lBCGZXMhxYqod3xNYjqS9ax4n48XLV3kc4mipESH/1HelvsK86h7WMH2sO1boyUpsO0xjkDGgNW+zdU17qj212GqqgB0NXaZfDRToN5+uVodlPXnaWzKs7m8l60QCF0trGqRabMYzmcenqzXDir4WMhl9gkvrB4IMAf/CdqvaAirfIz6rskQjDWYeN9qnDFYLRCZQHX64LNoHLElvp8N/+s11/Mnn17JjQ0sDVgwnkx4SjWKXYB/Dz3SqaliCbmiGaaTyCyMzFs+/2oHj+BSraHkMvapqDCaMWxV2s++m+AbEnFOl1hGcCZ6dHKAYW6aaxOtyLYt95l5yVoX5oR14qbyQsXyadkyhU8+r5lsMnp5ebyhmvtzeeYkvPPTfEcuG+asnvsCTF26PwZ6WOey54Gjo8uAollPTYKTRZeK/1OLU5zR8TXXYSHNdZ4U/feQQB9wyb+7fzj9eXMZE1caVjbydrZKejuDyYX1ZgmmZQowaIRLKLXw2pfNlMKLpa/BMs4YJapooXlN+y7JYPQCWJeuTmsk2p1GjQk1Jl9aOTXEmuDHMNRjmdhikkFyzusiHbhvn8pU8ZlnRYepwlM48vA5AvZYj5G99pg7fg9pssGS0rjRdKTg0UkAeFlyayuKH+wgTrFLgR2hIxdBUUVY6D6MhF+JN0LlU5qBWhGwHGdtmd2aSrdkye4vtjMo2qjj14hqdip0t4nfMBt/n27ma7+aV8Xsov+hyobqWkVxvrF9odBBx/m5or/BH946za7DGF5/q4ZtnOpD6CHv4LBXcI7BNHAkpA+exNBEcMqSPwof8kwofVX0tfTor09j4zGQ6cUUmDhvRyCeIZp5ckeG1BZv1no1waiyzXHKlq9Ts1UQjAyouEV0Kr2I015/Vma0Q1WhgQSEtlpdYvm5R5lPtYxxYyHHG62CWfLCCpZ7HkpKugqSnEMh13OFTdImB7fo+n8VmCgO9VddffrrOe69LVdPyZmyLwQ5J1g5m8mJGdTgTK1N43Ow9JMaol5R6iIw0FNmOIZ0ovyXj8/7tC5y45PG/jvuKASYaedSg131YViQfWvowTl9YZDCP3jw3zxN7bU68O4+nzzaG3pEeYg6tRifaNwB9RlCvDx33GJKKjhGSbGcFYfv4nmBqroOylzPAEhHJh04t8OXHhvn4XX0MdOc5dWGer//kanA4jopbhJNaX8FvJuNjWUm5j5JlfKysV98mqbWl6DeYVXNsQc2VigqP80YC391zA9fNdXHuXD8zC4W4XNQLdWyP1kKVDB41bOaLOXwE5YqDrDgIxyPfWySX9ahWnWRdxZALC9f0joqbSlcor/qBTHrfIIIO6/Y1PrlMjUNXMkwvWHiGg6x6OnN0t+di5zaoYamrqdR3k77wZbDNSCLx9Htsm5SzVN0Upo1OV81Y9HfnyWYsylVly0qQKa57wt/YCgGSK28SPFbrNvGgPKs6w9DfhnUrgpdc1uLO6zpwa5If7Z3UYGhtOqJFL7ZJX66En3GPYxpw1TAN0pwasfnjH/YgkMwUTcxpBr9JR2DUrHraMI0KT2LbLl6+jBACu9aGu4gz+45b4N+98ovYhx5gZG65sh9Sp7c5rrE2HovTn020qN+WasSb+bQrB+0rRymtOM/W/rN1x7GRfkE62MV84BTlKklhT3XsVBqMUmmgIw2unqbBp6wF1oqr3LX9GLfceJIPHtrFN1/czZ6r7YxXHCSC9oJPR6HhL+ghaVAlE6UpqMVGs0zl6CekvtdR+4aShf5OGUx6RXjrMhvzYAzxzeRFfV6qnC0Gw1yfni944Ug7xbkcB85mlohXCh5CwVeffQis42B5qFuKpwNcKXj0TBf/eFYy74ZL0UTcwAyLFRAdUJOgUcMnIj3sSAyGXlQGwUE8lSksJ8N93VN89P69vH+sk2cO3sgLpV6uyA5c0Rjksp0Ssn0ugDHXyXSmm3NiIwcub6Fi56hksg38mhi6WUvSmq9g2zV6c65i44Z0ipgRlPiNVYswq4FCLyyMA26Dd+EVCjpOUf0J+sujfGbb39CWr/D8m5/nZbEyTofK/rCjrhuQZSysShbpVNnRUiQ/WWK+Mgm57uC6lBjeyq800dgEz7DcZs6E0nG3izK/sm0fHxqcZd8bO/jpyDpOeX0siFwAwxJ05CWt2RBUXA9FusBggKhLVU2j8DqMZsGUptlAWlpeNZ1tCboL4KhH24fBMvG4QVvs7lNj0OQBGg6ZOpgUczpTnKpQloHJss2fPdvPWNFhvGLH84YysqgsKziFA0ahzoo5llKRK1X2Ajwfe3mSp9+Yolj2cV0/rp90ehIOuPpucAZVB0zFL5FO+VVpiundoHy7tQqWj/QtxsoWpejqF5XuRrlTcy7femqUZ1+foSVrM12sMjZVo+bpulip6Ih3Qdz8bJ7i5U5a104ihajb9Y1+uDZRYGG4A4mB1joM2xLctqud1QM5Xjk6y+XwVFeVT/UPJ6e7Ob1nN55vRYfcqjxpLVS5d2CE63efodA3T2m8lecObeH4+ABVN4Nfs8lkPfKdJTLRajaJOlvaQE0mu3c1vX4tizrDpOaN5FsqdRm8f3hzjR2PTHHyQIEfHchzZDjLzFz9CrB6f9DVnqMln3Qf3ot+MC1pXap9lJZnqToubfLAsS0623NkHJGo53rOJA+jNodSV/W6UBVRrJ0rUQFC8bYX6TIlcVSXapmNOplb8PirH43g+5JzV8tamTreev+mt4Pm4WfY4wAinDYAACAASURBVBgGXUMLLS4I7TnJtcs9LCF5/V0nOKQwodl1IYk0fJM0S4kzfZfYwkc6wXJCq7wGV1rEl2fEGechOF7JQ2V1Sjk63moNBYcYLLfKXNt+mVLN5nBxNaXYLKeIpTfhkCxPrwsdj3T8vj6+gnXf/xM6ug7w6MkPEOcl1IRAeBmEENTyZdqyLu2OZ6AvDS8Tnnp9peGvxpu/t2RqWLYLjiSzcpx1g3v4g9v387svPMifHVzDkatddBRsCvmGYjJt1m52OI6eJnWUSwhlFWSjDNOveuF2CNeylrZaXIXT1Sa1vrwZz9Lim8lI+F1vR3G5TpdHE14RJdGT68O+01kOnMtQ85LtZjE5SOAviZ9qGhVUCWYZfa+RV0liWbCqpUpvXnJmNsOVkrqBRMYVNsThyxAltZMRDWNVZY3qQIZK2hKN/YEh7m4RvzxFvneSHRsvce22d/n4wZ08emY1++bWM+S3UsXGypSRrcUAxbl2Sk4BT1rMZjsaeGAoW2sHp6az/JcXB+jNubww3BbMuEZ01p+j2SC0DkerGvUX4iPchV6oTDb2POqGmAHWHS3n2bb2MHbrAqvGb4CRFXFaojpRywvqzBUCKjlE6wLZlrPkZDmQgdJkfQmtbcbb5ACanOYgQeNbaDjrs5Ih8LD52+AU5li5+RIfXz/MI+f7eWLfTeydXcGJcj8L5MlnqB8v7yf0V7MZRzVe13eqrlHTNO48a+iwZrpyKYNe6bOd0J4D25IgrDiv0wYmJFqdkPwW5o81faU9qnUW5otdn6HDajxO1xz+n+M9+BJKnqKvVRkJ0+v7V1VYEcyIAGIGYugkJvamNeR8RX+ONX05zl8t8265hPRiBMdpUGkWIs5TQpxVXqv5QhRFcomqQLlyQBhg1O0eAdmuMpYj8aqCsiuU1VoiXl4EGIplyfkR5VTLWPoUm1N5nF/I8cxT1/HBT79GpqMMFgT7HCVuMcfhNzfy5mhfQ89FOr7Rrwz2ZvnSr21mxbYMf/61S3zp28PBnZkqvorcup5y6JaCVM72eGT7aT70yBu0rZ1EWBKkYNN1F/mHb95JtZrFr9jQBpmWKk5s3WO9vPDqkVD3JlSL2obieEXPqkzpbURja2tOMrixxsCaGrvvKPLWnhYeO5Hj2KUME/M2ngetBZtstuE+pJ3JkBZM9pRJb1nCiuwrS9TvcWyyh3sps5GmOHVFV2vewbYss77X+z6d96BUnd62lXg1xOIN9avLm361WH3mea7o8Y2fjIEF5YofhxXrM2nUt0pPBHJx/f4zXsehKL2mv3DtCo//89PTOBmPX/yv/YzMoKUz5U1wLoUg3RBOlm/6ZlkefjZYNiW8nmBZVkyZL1aW/l3/VdMJHHw+se4wH/vQ/6A02cb//eif8Uy5S8Ndp9VUdhp/msXr/IEZmeHfDG2AoQ0anDCthV3tAM9GZmr8xr2HmS8NGfD65wlre6bID17EpT5maPlYffO0f+xx/tPNyzj6xnYOjO8k6wTrvNOWjKbNOOqzhFUXxicFc0WR8EmkEFwcFZSqcHFUcPKipZz8RuTLtLdIlnUJbDteRlpIjxPkosk5HX9TO1nKswmGSd71/IvJoyltI96x4M6NHrdtcHn9vM1zJ51FylTfDbToMxa+D9UZ8CqN76FxqSjejC35hS2z3LGxwpde6+Yn55y6TlBgQdwIVWlVla7aiVgi+nR9dpoFN2NmsXagc4vwGWgdY2ZulvY2idNZZO0Dr/OFnSf5+WNbefHiep4fX4ETXHgRFOA7eMLWjttXjMQwxA6DCHAo+zZPXmpvGH5RdQklnfIcyl6a+IVGfZgmUisCWnqhWD8wRy1HVdkhr4VgX3Ejg4cfoiNb4tKV7crhQUq+0FhXD68RdSPVt5FI6J3jrrZZTsngDj7hTeJkuhGq85jW5HTaMKRVVXCzXlXClvwCVnsVYYGdcWnfcoVfXP0U959exRtn1vDspZ30Wa04VmNZrq4vTKeqpqV1fRiatSjVkuktG4bnBCVXcG7KoiUXNBs1CKCr4DPQBsEphgETlro/W9/DlLWDAzACBEJ5lHHZbGbMRIMzmiwL0TiMIpJlTfZVvRlrGiJex+GzL+nK+Xxm8xwTZcFPL7cyUTHoqbDuY/KJZqTr70rChHEaJlEASfj4Xb186t5BvvbMFf7ysSEq0eCUZpzKel6h8VRvtAlHXYel5FHzR6fSKmlD3kb5fexCMOMosHGl3ThRVeVNjJU6H6RWLwouqh5QcK66Ni+e2ETvYzV23nqGlmWzCEtSnSrw1qH1PLnnRibL9T1gkUMV76N8Hy7OLMBwC1OzbqLfb/BC47FKlICBzgUe2vEO7WsnsDKNJZEd6yb54L0nePfYWqRrIYHOVp9rezy68p4iP0rBQmWagrOOmx7CfOrl78aZpqB9t3QGA3uWI+le7XLnp2bZcT7Dwbdy7D1YYP/FLPmMhW1Z6HsFf5YZQ8+TDI+XKFa8hBj7UgRxJZezw3NkMnbCIRVAV3uG/u6CMg7UnClpkwlCQCZj1XGQcZ7HBowNz+ogVww7FRbx9pWQ6RSloX5SB8eV/ritYPOrDyzDlZKfHp7kwpB2pYg6EBdzGNV2JkgKezK8B8cxpqGVb0L5robg3fNhtgK2FxrdenodhqFhxJ6FFp8GQ0/X+BaMsPoag/RylgI3DY+kRpSZKaodo9SkhxW/IMwAMw1/PS58NvVUOr4mXqW9S4S0wkfu7/GYLJp27v/zhHxHDem49be6k4cEW+K3zpDNLZBTJpF1Q2epTluoWMZnBF9/2uHIu3WlJeJ1MzELc0X43l6HFw7LRLP3fbh5q8dvfji403Epo3KmpRchvb5sVs8meCYrpll70vOmxZmUnC6P6eXZtuTO6+b5Vz8/TeuP+uuOo1qmSdZ1egxGjQBqlcBpDE9eU5U7sqE0fYm0grscy1Vwo6K1Dls1ZH0FR1Xphwo9zFrvxWzL57fvfxrPN52OHCLcCLaQdLXP42VLzExL2tqz5ApZrIFZttx9kE0T57n1wFqeGypreBI3AjG8JzoGQ2emqyd1hlRF3WRMhel0IxbIO5K+rMuk3U1xdhKk20AhNkvXeB7N9fCdq7+AhWQm2xHvnPVOMCJJ0buARCA2TPKZgReY9tuiOMu2aGtrwXaCe8CS+6dU2gw80cuLGeaKjEaGZfDck5Fklk8S6i4ACjUGdp7lg+uvcP2ZEUYmr8eR65Qi4vpCxJyqeNCXxs9X4EuvZLg0Y9UP2xGxtCPzMFeBv3kjQ0dexkiTMujDH9rs8mu3QFbUFjUKm+ED4CMaohM9iMazzs+0WUkUvoYwNEO46axkmlMVG5UXdOdc/vWDY5y+nOXAWJ6JsmPGJUTB1+pc15P6DEODUXF6tH4GATXfZ6HiUnX9eP6oLaifRSxJQqZ1pzEGS8eh3j7UQ1YSchDnsxACoe81VHWDhJhjrJavptfLU2UmpvPq0UJwcaaTb7x6PduHl7OyZxxbSMZmOnjz/AqullqDxSeRntHqQkpGp2v86beHWNaV5eA7s8F+0ghnFUeNx1qj7OmcJ798BjKhgxXEW7akc2COtYUiUgiE5bNxe5Xf6p2h6FX55woCWLe+viKkzlM7Cz1baty32uW67RV++nILV+bCFWjwXvVBmEdKiWVZTEyX+ItH3+bCyHxSpBAMjxeZnK3y14+dpr3FQbWwQv30/ltX8CuPbKKQaz4jqYY0O7Bhkyn9S2K7loKAOmAlIDbIGv2m6CP1WyTD9V8LonYXvYcwk/Da22w+99FBaq7PO8NFLgxXGmnUPHofl+bINgk/4+E4+jdD46+HE8M2f/TtLiwBU0U9vQnuYu+L4Sa1Zz2/xJM2Vi0b1I8zimVwBhq/6bQly9bzBXlcBD94926O/cVGqp7D0XLHInB1elTllmZwqp1TM/z1Ms38dTNzYPtYvsP/8eT1XJxaaUz3zxEeWD7Pb/fPQ9fbdTYL3GKO+dc38td77uHgSDe9y3N8sFaLGVpLGQnT0wkhKFYER8/Z5DKSe3YFdzPGM4EI1ZmMw7cswROvWRw9Z1HzgNiJvOlKV8ej4UhCqSLq5SRlO1m/aXVtbhvpsrgUmKZ8+rdGXt+HM5fzPPdqN6dHHEO6NLxSjK4wlGfBLca/m4wRAEtQk4JvvtPJE+fauTSfCWYbTUvOQlRMTqOq9MPR+Pq+Ks8TfP/1HVTcpalbB597B4fYcefb0FJjfq6K70NLIYdbyTJ2bhVPX9xE2XpboU8xmPVOIcYHnW/ag65qhBanOG0CWT9ER0kX5o0tbYWC5fOxNbN8ckuF5y9n+MY7XUxPTwPhAJACPzIIAWExle02z0apznzo9Glqst56kCPtfPfItUyJ7hivhWWTbelACG3aV1edad8SuC8e+pwyv/7AAs7aSqMTR+C7DqW5AnuPbGG+q4eb62rGtEqi2YxjmC78q3qSw8MW63okd61N6i8RAGzMsiuhWLN48m2LsxMCT1oIy029l1YP+sqN8FvZNew717s3Qbztxpw9pd7Duo9gaLKtD2CYjLZwf6JQ0kSwJaWaxb5jeYZmMyy4ViNd7GRrpc3FPtdhqSzX22iInN7e9Jk34Ht7xtl7ZIaRiSq1mkxNF+13U9tkmDbmMGq463yK8BTBktmIPxqOEIchBJju14sNaIFxFsxEjz44ZKJbwcmXMFbK8dKZNTgy2BftIXA9K0mfrjeFwHN9Dp6ax0LiSRoDxmF71XmtLCdW4wP9aCFiA8FBP+7VHGpuPjg5WwqKExbDx1uYKXfyzxWEgP7WKTrW1Khr+HpVCjwJ41dtzlzK4rX4uJ4X0aTbTOpvHH7SvirXfA6+PcmmVW3cvnOA5NA7CAS+1LfowHzJ45n9Q7x7eRbPoC/T6WzoozhuUKn6waqxRFtJkUtCWY6QJXYOgim9bsbrsq3DC3VIuIoATW6BSsVn3+EZPCST87WU8ols5mjgRi3fhIsh/BPucdSNOXNcxYWxOQsBeOGph0aHyWS06mFxgTDjJ2O/0rcRdSPOzw3h1E+TWhz+UugPf4USIxh22xme3poCr1nZurXyXnkktN/FhEJgIZFOBYmPU2zjzGyO8ws5Q1pVssN3XeL19O+lzs3xG+Y9StUsWSmoTrVx4eQaHn/mDp49v4LRqoPrW2zt8JgvB/nT1rNHp6wCNVewUHFwnLgBKYBiReJ6cOu1Pp99RBAd452KcyPYjsOlMZ+TFxR5MBhUSwkBvpLJOd3w0ut4KbJiihNN4pvFpdV3GKfjEzy7vuDxgzmeeytLqarnb1ZeSvB9qEyBVzOLmXGUPPg8W7GpeBbFcA+TUDKaBpZCeOo9i2E+GU8nETw5vY2inzezSquqHDXWW63srJ0HauALFi7nOTm+isNvvo/H5nsYoZ072oag5kCmBoUF8l6Zsl2I06tf/5HosDTeNFMP9bisX2Vnyzs4HpytbGDcakHGDG8SsNozPncsr3DPrePI9laevNDKTEsfUj1tNa1sPS6sC502DU+BhNBJGu7m+YnNDGWXE6tTCczYkO9p7HlM8Eb7Bok6W9SZVJ7XWpP82tgxnHUTAPiVLFeHlrH/zWv40dmtvCN7uCZr88uVKkI0OWo+tFOBqieYq2UQ2DHVZAlB0XWxheC2NT6fvQWETFs9ohsvgukynJ1UD+MKoxY/fMIUPB9mSwSX1+v81IM+863gFeXRVV9QuEFmUlFNDzLIOFp2+L1XllPzYa5mp8hpqAdkHL8wqFfz6PmlImgRTZqxWg+zcx6eJ5lb8GIzWHGnzUBvmoq2iOMTm22RBj0lGumE8m5gihTgVe3oLkpLyAa4qH1Jrdww3lBhJgNcD9odhJ5n1fdVhvJgsAsTTnMdlB+c6Jk6AyMgl3FZnS9iZ1zGyy1MFvOxAZihq51cfHs5W9dM4bQ27rN1Kw4nTwwy4knWZjyQgnfO5Ph/9+UYL6WZ5Uuw/5ZiIjYJAsl/ay+w8qZSHZ5gbsLinZNZnt3bykvnc4xM2FyzxqNccWN50w6ckUCtJpkv+XXnrtFohYBSJdjHfeeuAX71Q9cgvfjgemqwBOPTVS6PFIO9o9pe3KUcjqMH1/WZL9bi96Mm+gJJrB0n2rOWJwxpTSUaPFGeo/RKX6Ver2IIU3Muf/TNCwDMzXvxMnUkIvtGIVAYMxjDe1yqauopdW0YT3fNcp/Pf2Aax/H44tf6GZ83afr3Uu5S4pJGqvrrhjOOErzMPPaSal6Hp0uTms6El25B6DD0dGpYjGdGq7VJer3cOB0tuPiFKkII7EoWpL47Ps361ctNs7xMVpkJXlpesBayHH3pel45uImnjm3lSilDxW/s/p4rCWYXFr+CQwKuB/uOC/7k65KsoUVMz1ucumRx1w6PoBvy6u05ue9IDUIIbCEQxA+lWMzoUtPqa/GlhKtT4T6kZrLTzPLVv6XlRfuWVo4OW0+ToCz639smWd7lc3VWMDdmkgkTjoYyvBqUpkAqJw1Gnb5MGkdKfMaSfHrzDLtXl/jGW928NFTf/xLOPKrkhR1HVIZSVky01Q7AZBxpRmHdSI03WYmcz3Lu3VUcPrOLJ64OckW04xaCEWnPzWMVW/E7piFfIRsucYqqRMRxSsxEhs8o30N8RTxNHZBAsq54mS/e/4fYlXa+9dr/xg/k3cE1GVKDq9A2V7PYM5wnf6iD1861MlauL/sOr+rw1Ks6GqxLc/ajcvTylHw5fGShBAjchVXURK6RVjV4fS/AQT8wJw22wo8kL+vPOs91/gO4grkLK3n+9HqePXkdR2udzJFDCovZssdchQhus8Gmmid46Rz8+yfjy0zD3AtVm6sLAluAjYe+6iFtZjDUXELbhNtsRiEtXQjbl5KJYrDvsmkdS5QESltJjPyT5L+IyywqKKl9Vx3MCJZSZl0/bOioUqxZnJ6zcF0NJiTxS5PlBnMM+Or2VRLex+/p5X13dvHjlyf57tPjwYEtUTuXKXBVkAb5V691CJejylgmTXdouOr6NtKHgtp0AelbYElabTe4VEidvTPVUUwXqeU0oS8y8rW6DWmI0ms8jtig11mdIUKBFcpOnb6uTJX7rn+H9+98h1x7hbevDPD953fz7lhflGeqlOc7R3bwqVaXa24/Taa9Sm02y4HXt/CD13Zyx86ziGywt680n2OuZlMsqfQr6Or8iH03PJviaPJeD74b7OGtzguOHsmxd38LL72V58qcRbUikAim5qoslN2ELkjYRAR7GF88MsIXv7q/PpOnVoFgvlhlZLKMZQlsIfFEfKmp6aTUwCaqD0aY7h1VcEqLM+3V9nzJ1FyFmhdbItDgvWrmCCXeZB6lybERrxS51ONUm0OD59iCdctzSAlnh8pUXZlIk7RRDPFL8M1+xhlHg3FgdB4lfe0+d+2excnWyH+7jySHTfl0uKa0JuJMLUjFVyIRVKtZMrNtiJWCau8YLbhMk8UgEQaaDcrd6BAthpcZvzCdALZmivz6un28NTXA9ya2UZS2AY6JR82CCcc4nE5RxWtbwAdy471IT1vG1ZQ+9b0ZfqbO0gQvieeb01l+/7E7ODPZznAxh+tbyMiqD8qdWYCrU8HSlIyTfqBDzvHZsgqKFcHpy8nZSYBiJdjDGGKmGgCLjWpJaVp4QYTLUu4bUp1H15NcuGppI3dR6pT39LpePK8emrVRUzmmNAGMjC35xD3T/OojUzz6xHL+449aUvIuAtNbCK7aAEW5K51+NCsoiRlP9WALybX9Je66ZoHnLrRhDYvgSkh1351q/KlLWFUlrLMhGvlWjI8Y+qKRXrVXfZioZZg7upa/HdnA0clVXKm1UhM2SA9KU4hCN16tgDXbjtc5g8gvkPPKGn31ulI7MmOngdbkUmSkni7nLVDrH8UuzpHPjCKq9bYXGmYqPfVQ8ix+fL6dF4ZaKbmCkmc3VER0YE61UabeKatGvXr1gbIcVnXOLDy2ZFzIVQDJkfkeihTiJMX2VfpQrjuP4bLVxIymbOATw1PBUb3DS+WlaDxLKaiMrGLPP27jh1c2cmK+h3kywV2O9TKnS4LRhVCvxXWFeh1HwfHZ2gfHrtocH9H7pwCRqmdRcQPeSCnjDkyYSoMdPptmO9MG4dRg2pMphKBalVyZFVRcBc/YMuTwW8g04vxW0+uyHPJYKnkMshGlNRrVyTIHW12+8qnLnL2c44vPL+P0bP3OWZNhaNAvsXal4hH71XAIT1MNYdf5eM3KAg/c0M3b58vYlqAW3f8QtnWp8EF3hlDwVhSOpTDJgtgyV9UZ1HV/jH8yUab0oTLWil+1sPMeK1ok7ZZgKuH8a3o5GhSqFxI6s4Z8Qghu2dnGb31gkLcuFPn7Z8YYn6w17F99hlKtq2jpn4FfsYOFFBzqPMlkPe7+/1h77zBLjuPA85dV77323dPT4/0MMBh4bwmQBAlRNMslKJISpdMnkfqo1d19Ot1pb781J+3K3Ek6LXUyJ7PiSlytSEkUSZEiARqBBOHtABgMZjDe9kyP6Z72r82zVXl/lIvMynoN8JTf1131KjMjIyIjIyPS3nSGj374FQa3zIHS3H3DBIM9y/zm332IVqsEaMJQcfT8ev7L1DtZ8/JNrBlZZGqmn0vjq6nXS3R3NfC72+gQmotdtHV6el7Gg7Q/EzJlD0LIunXOylr1l2u7Wdp6vYuje7v4hycHePVYhfGqTzuI9FYyQDoz32B8us7NV+cHs6Qu6al43LBrFaMXFzl8apZcUJpGM0xnL116yIZrp8tZnwW2ng3LxtnzPOrNNhPTdRot6wyU9EAaZdWHlKuEheKbwduCOpBtIEkSijYoYan4u/wdy+3IqhK/+0s7abc0v/35MZ4/OJ/hKFdvuPSN0TaK9XoSfshTVeVvu9rM92OXPH7rrzehlNzjiJWvuIKLy7LLLcIzn64W9FFZ2AAcp7Fhgj5aVj5t/Zbld8IlJ8IFeW0YNh80JaX58Z0vc+3P/ieuqffw0u99mRONtVYeXQDbxqkIZ1ce2OjVaQ9WURrKl68maHetmKe4Pjt9N2k28bXzZnnG6yXGz68TKfOC3mzD2XGPWlNTLgU5JaK1JgxDhvtDfv1nPdpByy1NSnH6IvzOl8pxn6/A3g/VIWjyS5tc+wFy+RwzC0oppqs+Z8eVdUAOuNuFKx5HOvu7C57N45Vkyf7ugKugDPQGxvTDCvRYctyegzCaVcoMRIFC6hxo04EUxbRCxVeODvPC+T72TXZHF6FHw5nxjGOsnOWJiWDuZQT3MfxJh258j8tP4AXCKAihpXy+sbyRr725iVpYQitPdBYawia6Nk3Q1YtaGELpMRiaYzCoZ8aPFul9ZbLXZXTYM5AJntKgCkGjODFwDZ/76z9iY0nxWGk3LV/cwWmLSpjxra496s3kCgbMsuTMYwooDsl1JdJQT2hIBoatE3W7ggbXD52OTnTUPpcCn7pfydOW1LUCdBg5sF2roVSyVJHOyg/J5MEW2yLe6ezbuB7kY8cfpBp20dKeubcwTldrw+lpj0CH6f6ovK7QbOpr8H/+qEeoW7iC8jwm5gP+x290R3u13obuAtDKQ1vt+q0ePJGkle+TNZ+xeWUuBbN5lnxL7m2UhpZy8Vw0ZvmexgnZsOu9qL4SEHF8dxv8EOK7HUAra+DBTG/Ak+1KWXi4ypUnfSZtOI77x73THLlS49DJ5egex5QGZaSLylPk9jmme/BFA0yuezBUq4CX8FSLdCmOOs/b+KmBhakBwraPr9r0DcxTLjeh0ZVrExlKol4SHkhxs2ZJurs83nfzMB943xp2nF7m+UMLTM+1IpTtGco0v8Z0BGW5OqujFKcE1yxdHwG7103Su2YxEgwNXqXN1msmWN+/wIWZ4RRGECrGF/oZX+xHnUlWBSiGKg1W97bxKgFhw6c+00ez6Wd4prJj1avNhzReOeJi3JXO8S4forL+6JBm5oW1LC17jr3IUX002iFHzs7x/nu35Qa3kxCGIRuGu/j9X7ozd1JzCs5TjE0s8Iu/t5cgjCZ2bH1THJSze32r239cdtjUXIMLk0umfiIupIh/yUCPqIKc3Dps/GJ4STKjQQo6JWzRXkLwAhXrKQumPNTKlikdtweF2WY6hLd5OI4gwunAWIwGxud9vnsg+l5rSs1qw1kpCIJz5Uoc7Tz5sNBaxcLctWj9NMGaadaV25xs2bgU0WvDtPPIIPO6YNohgx0C44sjVM5dz+LiKhphBTfv7XKK8GeFuCz+QyOLhKuiUbT9E7ex3O7FzQsbbp6OznVbhJsrZGXmazUvd2GoOH3JY24pYLA3M2TSHHHjiK7K6IChgsF+RbkEpy56/GA/eG/D+PI8xeh4htdKy1slfq7DcS5MlRif8dDabg9pThtSUpKV3sVnu23KdxfclWAV4RI9W234ynNDPH9okPH5lcpx4NKaAS1OoDOUt9WJJsai8S16BCHsm+zhwFQ3De2ZCjU1YhydcmJMpI6HqEtZhpHHMkwk7JhlWikWtBisSUf9BSuCNjMLPhPTVzGiDlMenmWXF3A4gYMyHVth0PlEx70HXknwIYs3aZeGd/Ro+N083X9Pni6ZznampZjL6pQ0da+G+oxwHkW6uAw/bBN6XuYA2SotTtcT1PFXn4vYVh2g1hqwzq1SGX6Jk60U6ACas+CtBuVlciNwMMqVvJK0yTsv0/RRWU3lMxX2Zt8NozZ6NgM4MeVRa4X0lUwdkBWr8T2Pga7ivdKeB/WYnccmfX5wCpS9GagoaFhsKy7MK3YMJaiZ99F2CjZOnudxbs5nYtGLZlcV5gnFGWExADK5t500w8BRYn+TJb/S8QFTH5jIms80i2Z8qcS/+vpmlgOPi8sdBhSMbs9qr3aQDp/d7oy7JUEK7v4jSxw+vUyjGUbGbWpEJspDIJLmtZwm2xBNZxzj+BQfwaPU4YrfPUG7Eu+Y/Di0NMhSq8xwqUbXuio9QzVYHDDLsOuyiGcpiOynJQAAIABJREFUTzL+NFua188s8sK+OY6eq3Fxuinsa6lXFb4f0tfVoDts0/R8qvUuwjBWkonhnJSfsi3+IeVLR4u9G20fAoVCoeOBvXatTLNdypsksQMfTRBHNA8P1Ng1MgdoWrUKl8bX0Gz5pj6QejWhX8YpJeTD1POicBOGwU+y+ovhnrvkCbmx6jcZFNDwxokZmq14B6nKr0BQSuH7isH+irtsIp1QXWqgPMXR0Xkef/WS4+SsoqCYX25x/soS2zb0CRatvCLCYEHq9HpcnKozMVMnDEJL3yR2QJop32aNqpLtzBCoBPW8iZQb0E07NKtfFqBEncxU2/yHz42i0Zwei6/iSO9bFenTdpzg4KjjFcIPMeNoWwC2gCLSKLaOhLzvhha+gr97uUy1ZguxLdA2k20Od0r/VhqLZqpdYt9sPze2y5T6F/iRNed45fIw+TmnorKwnnqF9K40nfDVBNrj0YnruPSNX2Wh0cN4a7BDPjN/L21W02COCkuUC/SwG0aZkKtG9hP0L6ACn9cWelkM7eHIlWi2+WLzo1Mwet8V8hV9V4QhnL2suDgFW9d4uNbBp/tuwtBQNrazVvI81g9rjp7z+Py3bRw7BwXMLMAtV+n4KHycZblws0MQKo6dC5mpGucyF/DBzm/LbSd5dGLkiH8r7aMoLWg0s0uKVhBdGeAux1GuDqE9A7pFKo92B5sWa323R6BR+B68e+MiuwZbPHO5lyNzPXm6tMibBPvkVU9ZS0KSp8NwdYYiGizDIf59JfR4fbbNe9qaSl+VGwbO81h4NS05s5Z2OtGzp13j3uWzDPmaZ/xNzFWG0J51Ebss03UAjcuRtX+ns7XkRcyemZUdWDLzqFtWVxOytjHDe/QUx1oljvVtoel3Z3m1xCuiM9xwGdD4c4PUWiOZs2LTI2n0FOggcmC7VxPNMKnMCe/kEEgDQqrVRDaLRnMdPG4FipPTistV2LPWJwgCQy9lRUbv8gh6qV+ivYqwrk9zaFxxYc6Bd4cQaphehls2QHJQjwsPO9izEEopWgEcm9DM1pRlAsQ/0m+CxzleJzwUebT4M5wkAf+t1JkoPikKpWhpOLdYoRVGNOQNLiuvNvOjyNpCp67DNvhzxiM8cPsgt27r57UTCzz/ZjV2Hsl45TIyE2conTmMv6eOW4K3KDORWedMlUsf5vW+BqbpYnmul9Xrq5QHG6wbquJdWhu1RdvpVjKnolIJUGiaLR+thW5NzRBFEIY8/cY8py/XWFgKmZhuZfcoC/xKpZCbB5a47+43Wb1lkqWZAb7/0vUcHl9POsPldLicFcVyUObE6e3cfOYCa268iPJDGtO9vPzMHqaW+kzeS8c04TPQN1Cna80iALWpPk43ypljiXbrC6lTkvpOaJW62BjgErTYM9yy3p31asGJ82oUR8/Oc3lqia3r+2i3s/2O9rkSgTh91aWjPE+xcaSHN07McPbi4lt2+CAa9J1ZaHDL7mG8FW1Ld8j0k+bkuTmm5+smr4p0SpoGs75zPJZtI+ax3FeMFrKB1e7JyklhkOEk4tuBYuxyA61guR4IuErgF8NQ5Mt4G+FtOo5xoSt+y37vWhPwmY9eodTd5tH926nWZDqbGa73Tg24k6C4ep0o/bL2mLiyjtsXBmkPLLJ21wv0XL6RlrHPsTj4saqJqkbW+Fulqygu1YiAZiKo8J2pXSvkk70UlND8+NYX+fADX+bwq5/kd06/k+ZbOtwmeh+mQbD1ILrSpGt6NUvVNfGpZDZfZI9t4+eC76JT4pLE23nstG9FsUexl6YVR0Y9bt8dUrEmCTutobcdunXDmv/54ZDZ3GmmecrcmMDqgZD+bvMOR/fyMwFTpANYbnq8ehzmlt4KX23l7+gMCmXQBbMIngu2LS8SZhZf8hQfvrXJv7y1yT+9WeELz3c58lq06iCaacQ+ljGfNIeeVMjCeSl5mvfvWuBdty4x8X2fY3PdWT0niteAGXcIyWyVMTIc/06XuErE4m+uqz5sI0HOdtr0xflbXoXl2iqWrpQZGKrTt/oofRP3MueVM1iJcRCXu7t2nF946LN4w7PUn/xfeLz1AQK7ya6kAo0OVORN8snZRltFuNqP/a1nJNpvGGT3iZWDFvdvfpL33fFV7r6whc/t/d84NbDTzJvwNNSsajfwVk+i0ej57Sy1t6ErQg8ahpALJ+E8emJ20+ZT8iNxQNLJOO2uAxecXNmaUCkuzHscvKzYs85MtJLjZs9KDnbDr/xIyGKjk64pionKWN8XUiG7XuHtLgdTSjGz7PH6RUU1GSRyyZkt79IYlle8WNe9ANn+PJsvBTw2jDrZRGX2ULOut81v3zvFhQWfzx1dxYWlghkUl7kh8c99s2hOjVRVKGcP3byKn/7IOv7im+O8fGSBduqQxnnSu98cuOWMWrK9lKis/GSJq53HNoAlH9HZkldRKc1mierxdXDNOKX+BpvLy3hxsWn5SoBU0f2+m4bm+NiWUSoV2Ht5G3unhmg0S+kJrWnQsFwLOX62ZrY3i/bt3Us8/KMvcf27j+H3tNBtj+1bp/itL/4LJuf6BDyd4ZLobiXi4iWuQejxwtgG6l+5nw8eOUGlt8mBMxv41rE90SymErDSSlYCnma4e5nujVWUUiyPDzDrVzLcEwfC4LGkSdRhTr6FTCS/E3wS2VIine1IyjwJv9OBhKy8C5PLvH5imq0b+g19IJ1Ee/bPtYR9ZKDC//Gpm1lYLj5NtaO2UbBhdReV8lvXTa79jdWlNvuOTTG3KO6xLEQgbmNpu0vanMZc2iIUlDErL34nMNJ6k+UJfWbYGSb9oFg16PMrP7GDNiF//cQlDp5cFrCSOpb4qAjvMH4W0poPP4TjKIM0Et0ljlc9XnxhhHJJOY7cXwlukt5ljNrl2/EynanRm3hUp67Gn9lIc9VRuOYYa19qUg0rAq4rr2KV1+KBkaOs753ltcu3c6DZ70gn8XPFyR6j6N3FC7ehIOF2lxp86u5vsnDPs7zHC/ns2XtpBnZHJzVjxjcF3Nq7RM+us4SENC9eRfXKtmh00EmXi54ifO1vnawGWZd2vRbxmFz6uSXFy0cU/+Jej/WrsjpwjXy59kAm33oqmuu2hXQ+vavz8q9QK8JAobVnle05B35yy7x8n9Hzmn3Ho43qnWVKxqsV0rryQV4GZV4bnl2mduST5UVPT2l2bFvi3gdmOD21EahYcCx8DKfRCvbIfvItLVp2vvEzXv4WasX+y300Gt1cmOnKdLh0DBNDNVm2mBstF0pdxhkdexyXbrS32aNFHmEYuDoUrWl7PrWpqwjnV1EtX6F3/UnWXlhkrjJkwhNGiIdCtyroRoUwLKFTQ0LQkjzt5ThJB4RIY7djFyxJn4SXEutI1x3PPIatNFkY+OiGR7vRR4BjuXi897CiG7xr1SVW9S6hgxIHZ1ZxMhiwOvQEqBa8VibdYTtyHruGwReXvtt1LB3QXIfv4IV8N8pPskYvs3V49ozH+/eEDFS83BLRTqP48vTmiq+4bVOH5aUqWqbVKYTaI2hHG9u82EFXgPK8wm7J2O+kFcevaA5e9qL92S5ZkPtsbB4n7SYFnrw4eJwb6EmeVl3LeJd8x7B6yiEP3F7l5Pku+k4OWrAolmWtSZ0P+3vhDI+Nn8ocYuDguSU2fH+BEyfqBFKHJEtHk7KEnnDOfkgD1jZs5d4/Zb9nfDFwt+mJcWm1fM4f3ch1H36T0kCDO3dc5JGT11Bd7o4AKgkrArW6u8FP3vcmd33oDbzuNnve2Mj0Nx7i8MW1jrt1HfVpMptyKeTG3Ze4+pZRvN5mlLTcZuP1l3mgd5ZvzPWROkleBjanmgzHXrPcLvHcpS28OL4J3w+j/Yk5Xjtw05pKJeSGvirlVTXCtmLx3Fpmlnussqx34bim39O9pibfTRqUCQfxDcjrbKv/stPH74u1Fk+8cpn33L6R/h7fuN/VdT5DRELesevqKnHL7tUdHL7OA+wQrbiQ+jErR0VnFhSEbNUZnByb4/Xj09EyVYM/iV4i3/dLHosma73EP0UC18CwVh34rfN5Iau7ELorinvu7qPd1nxrbzmKT1fKEMl3Ci7RpwpjH7RLXznCD3GqqguwstJkhJ6+4vGfvxctKZqv2+mKguiQjRZcVK6sVVc6kwaN4tjcdq5c2s3grqNsWDvGHavPMTp1/Qqza3DP0Cif+Zf/Lz2bz7Dn0X/LgQMfwuSLJo+PCU8Rzezd1Vtn73IP85QjAy5Hrw3TpsvkNUAzqPD1Vz/F6upm2mfuoB2WVuAHaXyZkFvWnqB//RgN7XNg/BreXNiEdtavXb6L965yZd6iNHY6q+E4naA8fq224sBpj5MXNRuGPbTOH0Mv393XX2TLLezRs0QxLSzDm2d9ak21wux/3jhTCq7MaWYW3HkzBejx0iE4O6HQrgMOnLwwSpJQHd+K2pbdFoq+rfRdwoyeQah4/o0BGnO97DtfdGJwHMI2tGfJX+6mzdciZ9FlMMbV0dKKb53v5/ELIfOteD1BMkhgd6DKKsPoMERZcsYxNYwTg0ICdOFKfk9XyofMgA4ocWphN3fPr2XVmnGGKqPs8S9wRm8kUL4z/6nuq/nSi79EpbTMAX0DukukyTVz0Zmks3kyneUwiacHDFYCPAUzDXHgg8KsJ1fTTgyunsx5bHslXht/N+WZVVyobeVi7zo33kB3u05562vo7gVUvYfF6iZqfpfJ2zSvVR923egguhu0azg6MIeC9AnuOZkzcSvksZSjGE6rDfsveRyf8rlzs6mrIvCmQdXJkWy327k4iPYYzSzDkSs+9bbq2CvjcNY9BefntNW35/FcbCleGfMYmxO8MfiiMqPXxROjTrT4pPLyI5Mbv1WGdFJX6WCQlE3zOdvw+ePH1jFd95iqJ/uCC+TFwMH6nsYJXWSwwXI0DWc2ivvuS7M8+8Y8C0tBtExVzkYYAxAOfZcyxCrfdipTc0M6gmb2CJ8YL8N5lIk0Qah4cX6E98z0UBlZYuDqaTa+XKWa3gstYMTZ1qDZvHUuuvfQCxm8boqBFxdRl9bGy1AF3km5ucEAS39rHZMb5Y/ajsb3G4J+0e9Ih1sGo6yIP0HoESR7Ja0yDRgib29fk5tuO41SmtZCDyfH1lFPZEtj8sSAK+skrmvjoDxlptdWXln3csAmKc9oNw780/Kh3Yb9J2Y4ObbA7XuG4ySm7um0vF7aUu12O/ct+T051+DUWJXlRrCCfZUP0eE7S8wvWVsfrFBvhrx4YIKxK8umLpKDQmlduOo0i3KeSiz5mQ7YZKDNgUMBK2OE9Z6Xg+piwF9+dYIQzZmJegbTlpVEF+UGegTsFcL/j6Wq2npP4pSRrq9Lc9X6aLZmbrlEdj2KnXcl7S+5KAlT1pOCdFl6jeZEs4upMzsYuqtMZd151u16jcrkHmqqiCURXnONPhaa3ZRLId7yiMDNxlHibX5fRYOfveHbvPuuJ7n79fv4vQM/SV2VHHByFhV5XpvlNrXi8+dvpHfsWurap4mPm582jjCgWvRvfYPmwDT+cg+tcztZ0GUnH/Ll53oWqwwc3zvFr0R7JxhReq01Z8c9ntjX5p7rSlT80NgLlIPgMLrsODuN5/mMXVH8zpfKTM6p/IDoSiFWwJPzHuVbQuFjZIrX8zyuzMJ3XymxWJNDSHY9St6469gouNAZt9NJGK50rroqKjf71g41L58usW+0FO0dysGOf4dtaE87YIr0qdEpk4gO3AArjAwdDYts7Gkx0h1yah5qbTmLYqZNlaw8cdWOk/glijvhTzoLIVgmjT4UzvXQ0liOy9IoRr1+qhNbGd5xBH/4Mqu7X6TUvJGg3Oc0fBbLfTzm3YQC2l45h64okKyzxOSH3SFaM2sKuH5Vnc9ct0Sjrfn8sQFOLXTlO2NF7IgqswzJy+7VsDyNps2lrtU8Gj5A0OMTer7VKWc82hgus37VBFTaBLObmJq9nbovyrfbv6sZIfEKoD4bL1uVUxIWzhpTVuw2ZjDbKtPgoU4fZ2c8nj0Tcu1aj75Sthc7zdpBZxWlk3Ge53NiGn7zBxXmGyutm3CHZgC1tqLsu0b8AeVxbsbj2TMeS60O+2lz8qqsurGMNVsmk4N2cg67Bu2SWbI6M2TTrNu5hs9fHR8i1Jp64Jm4pG0hSS/oSsqRZaaqwDbW4rxpW4zzpVdGRBEbRkps2dDF+UsNFmuBeSKvhFXEY+mo5eISnAXxRp1Yfb+YCU1nvqzBMR1qJusDzB9ez7p3n6Vv2yzv6GlwwsMcABVtfk5rpqZ72NL28Mua+ngf9fnueEWBMmfYJK22Ex3HtQOPE+fXcPHMWq5avwB+lG5hbBUvzK3LlZ/xwuKTi5fK9Z1iHqvoLtx13gJD10+glKJ+pY83Gv3o7OSVDBelMGaiiupNyqyy3tM6Fe0sJBtAkVffYKUz+j+yuo2b1OjlBZ59Y5zrdg7RVTL1i70tp9My0iK9pZTHodNz/OGXDzMxW4/3MRbZKk7ItNohzVZAxU9WeyX6NbaxPI+xK1V+8NolGs1A0I7JY2MmvoDf8putD2yY8mRiCcPRdQhyshdhC6BhsRby90+Noz1oNC2YSXplAZIwZNoVwttwHAstjIJ0UZobNgX83qcu0V1p8cHf3smlOZVLk1FglyPjJBffCh52PjN9lQqTpx/mmulv0dp8mof3nODFQ4u8vrxK5Mvj8fryBv7jV36bHr/JRGOVSGMpZuPdxOPanhbv3nME/+bnWN8qUz74Seo5nG067XJcNEZ5Gvg0kvuAnHTk4SjgrqGL3H/dqyz0NKif38EbJ99PPWdK2PBsGl28W6l8O74of5FA27KZpa83NY+84PNj72xx29XJaaQCsjXCJb+n0B3xUgnWmooLkx7vuD7gvbeHeN5KcumgQMPuzSHt+NJWqWhDrXjsFcXrJz1rmWqnBr5S3FupI7t9riRLb6XesveSp7jn6iZ37mzyxmgXTx51DFKEzXim0YWnwMlWCU4HwDLUYsOl4ms+fd0c77t2if/ruTV888xQdEiBVOh2h62tb2mTVWYaiUd6R5rE0+Kxa/+jXb74tuj3UR29hfC2p9BDVbYPj7L6zDkuD10LyjcP/ojLbZfE0nWJo7z4O6VRpJN4yNFpTJqU0ty7ocUn75+m2dC8MlmOHEfPJQ/aKsc0PAHoW5POPLY8sQ8oJ1YKX7e5augwmzYdJwRmLm/h1cYIQV/Z4IHRWRapbGPWN4DGDFSGoVxypLdgSVpdzQjrm21gxPhVW/D944p37oA7tnjosI3LyLL1mH2XWSc9t9yE83OKj9/U5q6tvOVTUyX6vg/XrgmpqLz+qgceT51WHLzsEbh4Zcx+GUyxVIv85niH/J45RD4pp4ajIeIc+m2oEvKp62aYWi7xT2MDTNdL1v5KoV+kHKdLwRJcLJqSvNYMVur4yBMRY9g/9eA6fvr9a/n8dyb4o69eotEU982lciPfJW6SZiHAdltI9J5Rvsq+24NHKTyVLxeYne/lxaM7+Mg7zlEabLLzppMMzaxhrtqdVZTQN1caPXz5iVtpz3XRN1hn76FdnLiwJnaSLbwNul06Moo6VR3mb//xAT6+2MPwnissnlrN1168lYmFfmG2WI3acN4cvJT1letbJI9N/pcqIe+/fpTewQZh22Pu7GrOXxm2YOgMJ5vnAkU3ji68BOtsk1S2k8SZkWW7+ByTWV1o8b2XL/Dg7Ru4dfdwqjveyiB8BDK/DzKturgdVJdbnBtf4uF3beP2PSPxUtK3ETwoex67tw5SEgcUJqHWCPjBK5c4eHIu+i7bkWzbCQ+SNmLwP0uaVyGuOlHmfuCcbs63i0J5i98Hukt88oNrCUPNE6/MMXqpbqaX4m3orAId0SH8kEtVRcErxLdDuLhcwW/7jrtcinpRg0JMSZdxLhxkegnPTBsC/31qmHuO7UZvOk39hu9x7XMf4cDo3WIHlbbya1oozreGoCVxk7iuFBRv1Hr4m70PsavRxfzBB6gZS4BcrdtFQ5E1Yqez+emCo+giYM+GU9R3HgEN4cFbeXlpwLG/0S7bhLMyfq46fat4FqVzxWdxZ8Y9/ub7PtdsjfarpKcNCuVVFIrW6tvfSx7cenXIx94JpdJba3wWYHQIYWDeOamUx8mLPl971md2wcazqAwXv5P0RTyT8ayQ5q2ETukiHEo+vO/OeX7po1f4y69tjx1HkS9sWctTO8B0zNjkO1WRVo48olloe4w1fZZDL1O2aAHXKts2JiTsVOlbvNAi3h7ZTmAaBkxRyDruht/Nt+dv4NqLWyhdfYKr9rzCztEHuby8BnrWRAe7JHjYd9fZHZHcA5jgmjvOP0PBdH6FYYDi9ckS3znWi1f3ODTbZZbvICfXgUm51Tpatro8BbTzPEvwBQaCJW4ceRW99gq0yiyeu5PJyrBJl5FP1Ifs1CVtqSzEzqMaiWYeJS+Tp0tUUxgqfxFzwgCbnlgWwhAOT/j803G4Zm3AYCVMjR6Xc5iytMC5TPK59Nd92wIevqkUD5q8zaAi9kinMxrN9zk5WeJbRxRTy4LnhhwSv1tynxg7tswksmnLMsq8qDuBId9l/UvZseVA4LCmt82vfugKR851s+9KT+Q45u6BxLxGw4Zr02U7WZZBHuEYt79kQEfDUiNgYrnNYisUPrZK4w251ipXdCqcqSPowC+B4QkYiniPlNR5dn0KOU9pjO7JHZ0dZvn8Knp3zbDx1nPseek6XlUbCHN8VwSh4vTcGv7oufvwfE2jUSJIZnoNx6yDvkgN7uh7q+Xx5uwIpx55L6VyQLvtU1suxycti/y2LpJPW3ckekKR0Z/glsbrXN6N3U123jeKKkUnsb50agfztW5Rj45+BQsfUZUmPkKObFl2qN5cly+dGakPU50mEmtFG82bp2d59Lkx9mwforucPxjHtfwUMOJd35PSlALfUzxw81o+eP8O9Nsc2EpJ1SFhmByql+DiceL8PN945jzzi618vafssOQLi8cu08loy7KfkjLn4rHMI+tQtGdDJ0bvgwM+v/TxTbRbmnPn64xebDhkRNozoo61pY9WCG/zHseV4vJK6NBFn1//wlpQmpnllWavXGXZaVYmymBMrrwMxiTdHD/4Qa6/+wXag1U+fP8/8OjYrSwGXVY+ZT2LcJX4OqUHgBoe37x4H97FewlRlnMmeWlVcseyO2kFO52EF/3eUK7y7lu/R3NoDr/Wy743Psg8ZfJwfxj+F/PirdVtkQwU8cWMC0P49ss+D90e8qF7fLSOjM+iux1TCA5ll3zPpSWyJbRupyNiznTW6FqnJR2e57FYL/Hoiz5vnPKjQyU68sCuVzut/SzKa+fv9C2lzJG2M/wwhCPnenj0xbUcvlQS+QDdjq7cMOB3KN/oaJXje/G3Vgh/c2yYR84McnEp2W8cw7E7biA3Gpn0bonxKDtYexmQbYh4mA6V3dHL0yNdBhKKiz3rmDzyIBt3nSZcN8VDw/vYP3MLtTqR86ji5eqpQYHoTKx6k9UmjS9jX2CSTRiKImgNB2e6+bUn1tMOYaphzSS7DDObP7K+k2+9I1CbiQYUJC0pTZp13iWuv+FlAqVhYgPPT95Mra8346XROSaGns7PzNqH1qRxYXTia/fqaJrNrg95b2WHWRDT0cBdFzGP5xuKfzqmuH+H4r1XeSjyS+5d+4bk7057ISW6OmgRBPmj9Yt0o3sPU/T0PI9aUOLrB+HAZT/r52yHw26bCf9l2owhmczJeirSDTaPJWzibIbTpkx5UIqlpsd3Dg1wcbrCQtuz8pHhIoOElzyMNA6DXBqQKRyzzX/lqUme2DfHxEyLdisUbJEyncCIDcIEnzQdQtRUli6hKflmq3DX4XAp7rmPKfwwhDMX13Dm5Hpu3D7H0PoFbr72AodeXc1SI9l7LNqljs6hSPf8CTbm+JLgJwdk0rQm78LAY2mpDFQc8Mj0Igkf4ghlpUMLeerAYyxYWqE8zY07L7Fx4wxoWD63jrPnN9MKE7nS+a5US3qFTklp1lk95AZkLLlIq1fwRg4yGF22ACTzGfChutji28+f5123refB2zagdWDpg7zc2INfMuRmH+N6CbVGhwFB4N4PmXxzwXWtvPA8j2Zb8dXHT3PgxCxaW3c3pjxI2kgKrFhWbF6lbUmJ5dw5krN8yUsujd13Jemz9l5rhjx9YI4ggMlq2+zPUhnCgpHo1CKk3OFtbmnQ1tN+z4d6SzE+r5iY9wiChNu2hHYqK9dqyWqtUw3ItO40AYovjN1Jz8ndgKL7zu9xQ9eEAwf5bn8r+m7jaqYJUbRR5MdObLo68amoHlYSAtlzaHyteXDVZfy7H0cBvftu55sT19FCLnftxGtXnGFtrZC2E81FddmJ3nz6y9OKzz1a4sRFHxUfr+8a6XKFomVe5je3AiwKLkPONsYCXeLZg4qvP6uYW3KVUSQbRTzulFf2nPafDcMVZ+Phgm/GtwJ4ZG8fv/xf1/APe5OrcADdhta0gF8kPwIPrWPPnXwItei8tfkd0FoxW/cZr5Wi/Y0GmnF6rwR+F5R6oTIApX4o90OpB1SZdA+VNErTTlaUrS1cUsfQwk/GyestEgNUkRoEy5U+npzaTenKerQK2Xrvk+xonIcwiJd4BlbVacuwETwOBd7y7rncnzbfrdAO4XK9zGTDcY+sy0myQ1qG4Bcq3mdYFrzNQJXCFj+/+imCtVMQ+IQnbmRvZUu+XjJESB0Xef+K66TVlD86YlJjFgLH6b6JDDqdRp01syRdymNBj/Ut1HD0isd/e8XjwkIJCkbxV5pxNCg3Bq/M752cRrlao9PMgVKKUJV48iT83X6f5bYy5UTOUtmGV3pYjcO6t+XSTiMHYaSMyt/JewLDbhuYeSZqZf73xzfz2dfWcnm5bJatLLpksMtNjTSRL1GTSXtODM4QkwdxmrmFgEvTTarLsXGeOg+216R8pzbfAAAgAElEQVQyeCCW8MaADNUs2qPMk852ijg7pLgLmZU6Kk402ejh2JmtNOe7KfW1uO3Gy+zpa6CUrCPhgBm4OXgsT4hEReUnshQKODKfi8fGIBYRIjbfpZEm8bT5ZfPYSBPxeENXk/tvPkvX6iWCus+bZ9ZzcqFfoFnA49TpU+44iYchT0mbkjRacJTKlqfKRErATXiWwsy+h6Hm+Lkqf/XICc6NL4HynPrAHjAv+is66V7yxgXbtTqsSJ8ppfD9Eo/vHeNvv3eaWqMt9Ea+Coy+wsVj6UzKPbiybUrTQlv8l21G8tjZVgU7RL3PVtv8+p+f5zf/63mOnF22tp7E/5KZxVDAs+l4C+FtOI6JhrOD6hCvuWlzwG/9VJXf+el5VvfJ9EJZpfkhX2uu3znN1CGkUm/hGz3PNlbz3Mufojy7CtXV5Bd/7LNs9RuiHLt8Zb27hNtOY+crwk1b3ymIxxFnaw07XubP6koBV5VrfPS9f0rQU6drdpjH9n6a0WAwlzb7LWHacW8FPzt0qkeXfNk4FeGQfQ+14uUjHn/+iGK6WsKLD7mwFdDbcx496i2Peis6q63VVtSaHmF8b2YRrKJRNqMM5XPknOLz3/E5fsEnDItkzUXvW+HxSmlcbSzXMxWUv1KI6k95sGFIc9OWkE2r4jrVYXzlRlEdd8BR7g2UPPYShajNuNhhK3uan712lv/7XePcs2E51rF+5Bj2jkDvBuheA93D0D0Ilf7or6sfuoaiZZR966P4Uk+GT9oRWR1xDi/Mp1Tk0liwm4CY8ThSuo75I3fiNSv4I1P81K7v0tdeAuIZMh1m9Budn7L2tEj2ig5NOq0uB8AOqTOWlCngyaBF+jSv/LN4plRUJ35iwCfOgObm8ChD7/guAKXJtXx57J0slfoKOkWHQenCMyeGcVxy2qo8qdkwLAQMWada8MOOS/I69ri2teIHp3z++hXFTD07KVsOOBUFObpvzASgqLVj/aWh0VYst/14nCUzsoqWmbnKSdOrEvsvKv7oeZ/JJWuZoU235IeMS77bcZ6Lj2RyGiGTECniHbwukmVRP11eyI1DNa4eaNDtaxNvkwPuOFnXrrKMQaNY4Lz43XJ0f+p9a/mzX76aj71rhHLZI3WYEvVm05OUn9wzZ5gAovwczlJfFqWzdL/UWbJv0JpG0+fY8V1Mn94AwMh157j95qP0VloRDemgiqi3tL1Ysqa1WFJpo6HEXZbabHMGTxIeSzjityELgsepnsx44nshA5U6vd1NlD1jmJSvNb4Ht197gavuOg5oFi4Mc3DfDmaW4/uLtQtngVtSduL0Sjpd6WWc4bTItBqDx0n1hhYMmVfrrM7iuCAIeWLfZf72sVNMzjWAbDC8SEfZ8bbO0Traf9hohoRoGs2AWjMsODvOLEMOxjtnP5XH/uNT/O4XDzIz38jqOOFBwmMQcRavbB4nMmwiJuRaZ/BUAY+1Nnks8QoRgxh5PMq+Ys+2HvZs62agz4/bkJVO6ssUbyF7KbzO4Yc4RE0XvKeay/g20K25+6oG919Tp1xyKAEjv4Qjn7I8oZCM7ysRKy2BLNS0z3fP38DiidtRocfADfv5yO4X0suOzXJdZbr4YT+LlK2NW6qZHN9t2rNvPiEjus4mlujVLZShGIxeN/etRwc8fO2z6Dtew2uVqB26jycu76adE42i+nDhafNGW3ld9VeUzi6jSDZccM245abim8/7/M3jsFgv5UaoXEu6Oi2HaIc+j+/z+NITPjNVj6fe8PmHZ3ym5r0cbBf85FvOMFM+56+U+Itv+bx42KPZKpJ3m2+deOGql6K0rjjX05bJIjju+i17mg/fs8hn/6dxPn5XA3QYn57qugjYVZZUxpaBII0iqRRT4yZL6ynYPtjmti2wdqgLetdAz1oo94EqZ+XYCjW0vvld0LUqcjJLvXkj1OiABUmhhaO20qcdCYUsnvSGeGLiLvyJ9aBCVt2wl1sqx1FhEPG1NkW6yTztiKzy5P4wnZRL9m7wVjl4aXc+KoNvwBOdlbJgp46gytLIuARe90g08xjzeKBZ5YN7vkVpcB7VrHD+5M0c9q8nryNSIgTO5HmtyRwNLZiU4gfoIF46G5j42elEduNuUFmWkUjwSMjxckvxpQM+33xTsdQqFYzKZ0ZTp72P0aE1Po8cgq8f8qk2FI8eLfHl/bDY8PA8z5k/+W3PHsjg+SVOz/r86Ys++y/6sZjpAv4kvCjiMRYfRd1oMkPKXm2ghPzYqtIwpASPlatuNOt6Wvzuh8b5N/dMsbGnJWRZyGpSX3K2OEMm+h0KJIwBBvFu2wJJljjNltUV7rymjy3rKpkPl74IuIDh8KGKm4IrQjpHXkG63L2oEh/ZxhUaj+O1Lk7uvZbWYheVVQ0euPME20dmTbLtooxBH21HZg9l8Uu2HWweW2mSC9hle3c60hZfYhjXjEzy6Q+8xCfvPcBAVyNOZ+VViqHBOv/ythNUBuqEzRLn923jpdn1eRqM8qzfSRqjTixak3RaZfFSx9myJ9uKBIuyeCHTWn0AiupSi68+Mcojz55nsd7O6ZBOA+b2zKDnedSaAY8+d55vvTDGbLXJN54Z4ys/OEOtETgHtIqW7ufSKI9jo1X+4O8Pc/jsnNmfyTrzZJ1IXlg8lry2abTrTfaLrlNalYCnBfwEH7veU3lUDA+V+E+f3savfGob123vMXFM32Wfn5Ql4EmcO4QfwnG0W7mt2c1CT096/PEjw/zB11dTrSV5pdW0UlkSvrK+F+EkFGkh7kn5mmMLmzh44AFKC/2owRnec9+XuHPoPCpN44LnKtNqvG8ZfzvYfJG8ssvU3Nx1hc8+8Bf8+sO/ze9f8zRlxOxCB9gKzbtGjnLPu/4K+qp0TY7w+hvv4lR9TQEuLvokjjJdUZ0U4VSUxy5DkZcdlzzZ5UW/p6oef/VPJb75gmKp4RsjU52WltqnhEFkA07Nw5P7PeYWFa+d8DgyqoQOULn8ndb2R3k8Ls/4fPF7Ho++6LFUd/FA0ueSlWL68zy103bK5+JxZ9nsXLaiB581uis6ZrudzOAUyZVdpgXPrj/D+BZpZeevoIXHYxc38d8OXsPhuXWg4gNlEqWag0v+e5JeER1IUxmEnrWUymK/tOyADUdQdA5yZNLAVTlYkXQuECifNxrXcebcDah2ib41E9y54TlWtZZiOPHMY2jNkNn8SmhQCVGSQEmr4AMqS58aPLgN1oRPOTp0QXEqny9574lmHn3avKN/H1t27QcvxJ9cx+vj72JSrc7TlytPmXQnxCmRPqEnxxOAAOozJl9dIYFnyJ6yeGHJctrtZPhdnPf4i1dKPHbCQyvTeXSP2udH3JPfFV9xaR4eP+Wx0FD84LTP6WnoLpt6yw62vpRl+r7PxFKJP3vR47HjPo3EsUsNIMFHyX/IOUkpSyQfbJ4qkSfhsXxKPtp8tnlslK2Md6/RhQqSvcKYsI0qVFkaA8+kfce8cA6I6Cx98tvae/S91+f4z38/xpOvz0UncKcwBe6pcy3l3eaBdr+7+iVjYIisbWtXmgRewoeM1lqzxA/GNjNzZD06VAzsmeLDNx6nUm5nWS2n3TmghvVdFqnEb4l3J/rQKKUZHKizcfUCPb0tlJxlKuSxRqH50I5R3vWjh/iRH93P4EDNKa++F/Lw9lMM33oa5Wnqk31859geaundjRauWvBb0pjIRNpP6IwfBknit2wjLt6meglBswNW2l+JvktnuGgNo5cW+atHT/CDVy7TDkEOMrkGnIpmBLXWlEs+F64s8uKBCeYXmnx/70XOXKzSVSnl0tu/7WX02b5Gn7GJGn/xzWP84NVLtNphXo5T3ss6MWXZ4K2UPcM50/l3yeMUNlY6yM0U5mTBbtvR74GwTF/oZ75ggltKj8AvrU+RRuLUIfi/8Ru/8RsrJfrtp56jff6d4ouynvb3JESzPCev+By65LPcTC4YLspvt/4iuMk3bcXZv+28dnxUVhOPc1d2cPf6U3RtPUV5eJLeyY3sv3RdfK2Fqywbvi5Ip6zvBYZCocHfuQyF4ld2HmHLT/xneq87SO+Gk3z3pU/QwDpsxAhR/rX+Mj/xwFfZ8I7vo7THpec+wp/u/WkmdY8jz1sJklb528ajqN47fZO/XXXcCb4ZqsuKUxc8ustw1WZFT8VUXJ1Gs2S858Ngn8+hUTh72WPXRs3PfTDkpp2gCAwlVnRIhYzzPJ9LMxX+/BGPLz7uMV0tGtex5ayIz658MhTxuAiGzeOiNiHhFNet1nBxusQTh7t5/ugC80ttG5CjTBcdwADQ68qiir+houWoXasZb/ZweLbClXop2rqWdADJ0jdP8EWyyHl1RvKnuH/jBHfsPsffvnonLS3uHrSNY4lbbvRRm+nBxC3u1BZVD5vnu9mx5ghqeJZ1IxdpTKzmdP0qQq8UpQvr4PfEp4Ja+Ar6SmGLH62/wie9fSzW20yVhqO7E3NBGFZg7pXxbH6pfNV5glbxjNCLDslwhoQn5V5ubJzjF/b8A/7OQ6h2iWOH3ss3xt/PUrkfwznIDQyJMo0DikT6pKMvuqA16dSDBpS6BV9tWAYjirupwuYU659QM1XzODwOGwbgqhGFHy9Z67RHyLUkv1zyGOmHF856jFcV24c1v/JQwNZVEFj7N12zjrkDvvwSY9Uyv/+Mx5f2+yw1Y4JSMRW6IMeXAh4r8odH2bwyVJaiUNY6qba0yxLtLU7bCDwOjFd46kIv55a6aGkHIFnnSUE2nq06jB8hnSY1ukoBL7lA3GoTaM2VuTZHztW4MNmk1UpgCyMydWwFHxK2W3dCmnJq6SPpIBmOp0gn60sOGCW/E7kVsj9TqzC81M3OPWOUBuqMbJqndWQbJ6p9lm2IG09UBtPQjTpPg6TFHrBJeBHjuHqwxi/d+AYfeMdhKi3Fmalh2jpe7ocNP+Fx9Ffxm2xds8DcuTU8d+gqlpplA3dPaW4ameLhT7zEwNY5wnqJE9+6m6+/uZu2az9mjnfkZNKZTuiJND6Rj47xEp4y6cSKz8mP4HHsPE7N1jk6Os+61T3s3DRIyc8EvZMtZDuX5ZJPf2+ZfcdmuDS1zNb1/fzHn7uFzWt7jcPBipzEnP5THqMTy/zh3x3ia0+NRqeo2j5SjicW36QsGgOtiZPn4LHBKynHVlqbx8qVX+Q1EIRmW3NgbIkfHJjl+Pka9UZotZ0EviUXafuI0pZ3TfGrD32ATuFtOo62JjRcbUdOxa61mk/dV+Mdu5rsHyvTaEsYtiNkC2wRXJdzVoRX0W+ZV1MNu9g+uZHdNz1FMDTPjnUnqIxu5+D8ToJsE5CjnE54RsEHdpfrbPSbzIc+gTN9Z/zc71HaiWXFGt1i8sp2Lu99D89M3EI7V4YJs0LAz93wLe5/+HMEPTUqZ67mqe/+a55e2pRX4E58bN7acS4eyfSdnPxO9HaC6YJhwwGtFbOLipMXFaGOnMf+7rxyK9pwLaH290T3LO47rvjROwM+8e6QgZ62kd5WiC7l6fllTl/2+cOveXzlKY+ZhWRnc4ESt2jKh6J6kk8XD4vqx1UnRXisVI8i3oN6bYGFpTr1lgs/Rx4Xzv1An0MJy5G6REFq4mWlw1DqouzDj21b4BO7asw2PC7XSphLT5KnHZIOJEFDpImNqnvWjHHb7vN84Y0fodWGaEZVpJMOqhY8cpYn0juMIY3H6eYwm5eW2LD1KPQtcaM3wanzdzDhi3vCgjr43aC8jB9awEaxoTbOr13/Z2z+8BdRE/0cXriZhm+dNm13bCkPMpw6BsNYzmgZKIfcu26Zq/tbzDe9+NJ1qx5jXAfai/zMpi+z9vZvE5YbtMeu5vHXf5HD5fUCvqhDhzGe+2bTiBtP06GPnceErzKko9gOfJJy7bp3GR8Cn5max+EJRU9Zs221oq9SbDAVGWoAw30+i/WQNy77fPLmNp+4BZRuG3ldM4s2/JASBy6X+NMXPb520GehSb5+bVqMoIrTFRltdv/hahf2u813WYZdjkXvQstnseUROJdoFsiIDK0aXD4q8BTlpnlUvPdO6B6yuPfdvYpPvGsEz1Ocm6hHq19dMBKccqaSKNeVV+Y32kbCL2HUFslwzpHLENBaMRmUuKp3gZHNc1QG6gyumePs2Y3MLPZGaY26yPDp7fHZuaWbkq+o1ePrSAx6ZF13oFFDZpxH39f2LvGBD+1jw50XqF5cxRtnt9AMvIxWW550httErZ8jh7fw/KldXFnqiwa74vauFGwfqfLJH9nHztvP43kh5w5t5i+fvoOpxb6MXiw87f36Bi9t/ojvaJN/gLGsVJaT5Et4bOtwRx0YcEOM04cTedMKpucbHDs3T3fFZ+fmIXq7Sx0HzpPfMk5rzVB/N7PVBkdG5/nJ9+3kxx7cidxXXjQ4ZsMPQsWbZ+b4468c4R+fPsfCUotMJwv+pO1F/jYakNVWxPcwkV0w5V/WWwJPZ79tHqffFUa/IXhsvGsFXkyrB4u1kIXlgHaLfBswgguepnz1NL/60PvpFN6G4/guUZhdeLEzcOu2Nv/uk5PcdsMiX35miIW6TGfnyWk58W4buvJpl68ceRwdjYSj4ODiGta3NNv3vEZrsMqNgxN4Z+7jzXp/RxM9X54Zruqa5D/c+7fcf+Mz6PGrOdoYsPIWOQguXtllKqbafbx+5k5eO/xunpm4mVp6jYbLSVAoQn5+/VE+8onfpb5hnPJiP0/+4y/y387eT8sweuy88umi334vcihcT1f92XlduLh40rm2IOrA5pfg5AXFUg22rVesHozgFe3difKZe4dK8axjdVnzI3cE3LAj3lNGpvw6jaxFRleFfSc8/uAffL75gsf8ks3PIj7avHClWam+3m6w68dVX0X1YoayDz926xSfeecFtC5z+KJrRsvWDQX8GAB6LZlPlKYs3/OjA20qA0SOE1R8zS/fPsNP3bfA65cqHJrsjvtaq7N0Kd5CcY2U8D1rL3DzzjN8cd/9NP14Bixo5klInTeR34Yng7w+QsS3vApX5tbzUM9R9NorhEMLrF8MOH7lGpbSfZdaOI/KSV85bLE9vMTW/imOjN7J/taNtPyKwNdhpHfklZWniEatuW/dMr/53iu8+6oa56a6OF2VV6Rk+cq6zadLT/Hgg1+gsmmO9mKZ7z390zwW3BHPsGLiJ40/bcIy3y3DvaMjJ2Wtg/OYGqB5thTyr4jHMZDZmuLklGK5BdtXe6zuy3hb5CjKOK01vlIM9Xos1DU/fotmy2CALrjI0TWL6XkebUo8c6bEH7/g8/iJaL8kKPNKjZxcuPo8tyzm0zv4lvst9ETHukvA22lViveG7jZ/9OAE1w41OTTTTbXl5x0ml7wnspEYZq1GNONYNFiRGp0FekfBZz6wgc98dAOX51q8/OYC7XbYgWdgyKZLXznbIBjLXF10SWPTRYdtcAuHa7lZRi32cc2GaXrWLTDYX2NkWXNsbANLbXl1T1bnSsEH7h/m335yMzvXdvPa8UUa6d5/IRuyPbpoTNuh+S3wPEoNj6WxEfae3Mz52WGC+JC74lnN6L0deMw2e1iol9FapFMwWGnxP9xyhFvefZTKqhrN2R4e//Yd7D21LR6AKOiL7XKS3UfOKpbOLGYiJf46BVsmnP2QTb8L1+x1dr7BibEqy40Wu7euYtVAV36Vwgo2Vrmk6O4q0WqF/Ph7d7JpbXfuKiInOXG853m0AsXT+yb4L187xvdeukh1uZXhKv+SPthFmz3zbryLZ4qWq90YCBbzz1ZjOXmVQHVqC6weLPFrP7uV+24Y4PyVBhOzrXye1DyyBoWSOBTlq6b+OR3HByyMTWckezeduL4u6PZLnLzQy9NHuqi1bMoLlH2h49PJgSyCLSUD61v23sZnYvxq7upepnvnm4Qj01xdWWbm3K2cbfaI3C5JcUuRQrFnZJQP/9gf0LXndfac3cPXJvcUwJC/XXyx46JvIYplSixSoZmdBex8esBHh6b5yY/8Ps1r96OCMjz58/zhKz/BVNjtKEPyrqixuvFamUaZ1kWnK28neEV53b+1VizUFEfOeZwcUwwPwPaNZXxPyolVck7hafp7NDfuDNi9WdNVzpxG+bRhAPh+iYVaiS8/6fH7Xynx3CGP5UYyu+2iUT5tvtnp7HdJv912XX85rMnz2JZ9F54u3kd/Za/NQ7eN8aEHZxm/1M+zx8oU0528u+pYw6CCvuSTEopWkY7g+l3Ryad+JUujolHh9V0tZqrw7IVezi91xaPGDsPdMIaSssTv5KTU2FC7Z80YN+8a5QuvvYMm5ahsvwvCJqlRKZfD2saYEvCcxlr8p7L0Vb+fpYVert/wBqp/iVVrLrKqCierV1FXyUXTYTQDkjiP8tAWpah73Rxf2snL5+/n1eZtVEuDYoTfcgC19T12GHwF71hf49/dOkOXFzK6WKGtLZxDiwdKcevqGh+/rUq5W/P8qT6Oz1eisZiEP6HG1yEfap3i4fv/BLXzJArF8ks/w+cufJwlr8uNp+fgaypaWZ2l714sW7bBkIqlJRsQ8bVdj5atJvVk5NVm+Qm/kvpLrmBB/DZkMKNHa5hbVhye8Dg5CZuHFBsGPUrx0lV7H6JrRF5rzVA33LopZMewxnMeTOUOnldislbiS/s9fv8Zn9cueCy1LJ7aBpJ0uIw7GBNeuQwam8eSJ1gGX16W0zxpHQj5MxzAhLBEhiPgG3pb/NpHJuj2NI+f6meqUTLrLh3EEbIs5SlBsh07jpI/xPkSebLpk3xTsH5dhcay5uXDVY6dq8UHFwunMM2P+KYwl79aNCuLV7K+EpqS7xLPJI3tVMlvRhvR8U/FxFIfw7TYfvVlyv0N1myYZ+v0IK9cWkM7uYpEKFbfU3zmX2zgo+9by+a+Mt95ZZaZalvUs5QRCz8kfxxypjWtwOfMxBoOjm5kdGZ1NNuY6ndZlwkfpIylhQk+aHylec+2c7z/E3vp3jQPgc/+J2/ga6/cwmKzK616Z5ds69SUHULnIuhO9JWhY8hkKGOIKEzwSNuISP45EJX3fir3d41ibqHJwdOznBpbYNPaXtaP9OF7Wfoi+0gObg0PdHHL7mG2b+iLSczyFB04qJTC80vMVFt88Tsn+YO/P8yrx6ZYXm5jtLdQ0GaoIkmPNvkgdY+thxKehQKG1EEJPMNdkDzOcSMrM4kPXbxXrF5V4t9/Ziub13bz0htVzlyu5/utRE/Z/WNCi4Lyrsl/zqWqyYxjgeGWvpuNd3rJ44XjZZ4+UmGhgYjvFJTjvdPTld7+XYS32VjmgwrB5Ai3jpyGjWP4m06xvbTA6XM3MtWWm6hc5bhp62oOsLk5RHW+nz956WNMBAMijyFBBcGmTyixjvwwafWAO/on+JkP/DFddz0GnqZ54A7+8PFP8+bSJgc/7LJcdNpC34m/LpmxYbje7bI78cyFs02PmbfRUpy5rHjuoMfkrGbLWhgaKFPySUfIikbwo72JMNgHFTFYWjQiFi0nKLFYL/HqMY/f/ZLPX37H5+yEom3YbJ3odPHYladTp+HiUxJcCswFRz5tmbPr0sqrNbRmqS+WOHlqkL2nSlyc8610K8mCCAMq2+OYlhG/egr8PugeIjWWko4ZTRjCodluHj/fz+hCF4GccDEcNUwDwo9hhaIsy+C7Z+0Yt+w8GzmOOp4F8/zIeWzVyV28m4IXdWU4OqKTyy0Ti+K153Gpvp7SPGzdeIJS/wKbBy8yMNPNydpOmqqS0RPUsitELAdl0etjwlvHkteHNhwtJToa8d0wdBTDlZB/c9sUP/HQNMOlgGdH+6LZGtlxeXa5cGGpzOGxbp4+2cszl/qoBZ4B31chtwRH+dhtf8LwzXtRSlM9cid/cuwXOFveHc366SCHT8ZjnSsz47Os94RJSd2aVeWcaUrqqF2P7/gUvLLLLXJobXhJfllm/KeVotaCU9MeL51TVBuwpl8x1JM5kBkot07ylGawG3xlzjS6HE+lPJTnsdiq8PRpj88+7fHFfT5js4ogbVMWj139hYtWg4cr/JaOdERE9t3GQ1aeYYTH+NgOjzVoEIaKqfESz4728+ZMdySPdt0hfht1RFZ/yR5HaczbdNj0WrSeOF/j8dfnODpayw72MJyXJA8mXEOGxHuia1yz2q72YeS168EBw/iWMoNW6HF6dphN3TU275ik1N9keMdlamP9nJtN9heavFmuh6zrKfHYG3M8uW+eVtuGnQ9KwUBfiTWrSnieik4od7VbDW3tU2/7BOmSQ0uWbfpsugSPK37AXdvH+OmfeIHBq6Yh9Djxyk7+/NvvZGqhT+SxZBPBY5e+UCJfUncSF4M2qfukPMpyJd6mbjH6m1y7tfWqJWvxuwYazZBTF6q8fHCS2WqDDSO9DPZHS447zRwmKxxKvmKwr4JXcOSDaZd5eJ7PQk3z1L5L/O4XDvDX3znFpall2kGsG5LzCjTi5NQM/Y4yXSjzFj8lf6RtYPNY2lBGPVl8ljw2bISkTiDUmrmZNi++Oc/+U8vMLwZmWwWMgQajHWc0/jMvVU0Ox0kIFYjnnlkY6Q+5dXvA1uGQ8Xkv2wwMuB0Fh7A6DVX7u11+J2Oz+KlRnF1eQ2N8M7dtOUyw5goDm0+wzVtmavQWrgTxbERhkLhH6WbDMk+MXc/3jz7EeDDgwNmGpwviXHTaadzOgI/mHX3T/NT7/5hN93+LsKtJc3Q3//WRf89zEzfFNLlwctV3Ed5FeLrosMuQcS7Hr4gPRWXZzoorTwZX6+jQnNdO+Ow9qpicg+6Kz1A/VCp+PEpGTtHZB+nYaRLl53k+gS4xs6B44XCJz3/b488eKfHSYZ/lppHb4oGrPRTxyQWnE3+KeOxqN534X4Qfjrj4vT2L1m0mFxRHL/lcnPPiiSoXTkVyJ57ycJzku6dAedEVGaXe/Mxe3EH7Htw0XOf64Sa1QLHQih1Yw/Gw+RE/FRks2wHQ0ci8JNsAACAASURBVFLVW3ae4Quv3U8zLImsXjTbFzTEtwynrKi4DNsYlYahYyahrcpcnN/FDcuaVZuOoAcW2LFqlKErPRxb3kGrVMnYG9bBSw52EXA8lT9322hadqcqeRJ9WtcdsKarzSvn+3jhYh+10LhpmlzHBrRCjzPVCier3dRD8w5AXwfc2DjBz935J2y77XkotVkYu5q/3vu/8krzNkLfj+o6aGbOY4quxcNOerzIubQ7XCW+G3TEzqPfE9V1cvR6mkbItowzcIj/ueRBZlGRAzm95PHamMfeMY/5OvR1efR3eXSV/EKjq1PIdJeH55cIiO5kfP5sif/ykuLPXyrx2gWfWkvlD0qRPHY5IAnPbMPR5nnqxJHPYxvVxgFWSvDOikvLYgUeR98ageLwXDfH5rpYDrzYF1Vm+YkekPQBRtfZrsNly3GUspBztq22rWHPjl5u3tEHCuYWghh9nYflMsil/Eu6XTJu8EmZ/NTiu11uSnSGs6FTgGRWqtEocerCerYNzrF+yxzl/gY7tk5Tn+zm8uxQpC/FqoaxKw3+8blpXjxYpZmuwpN2IUZ5CsWGNRX+9Ue38DMfW8/tO/sYm2wyPR8fXCf1rW2kG3Vr80jSZfFWayrlgHuuGuMnP7KX9ddfJtQeF/dv579//X5Gp4dJV7NI3ln6Owc/ihBpEj7qlJ8m3nGi3OyzwN8GbZRn1V0SL50WZaVJ+28h9DHIUGum5uu8dmya145MUV1q0dtdpq+nTFc5cupd98XK4JpdTK788DyfdqiYmmvwwoEr/OlXD/PnXz/OvuPTNJpBxhtFxhMl6iErOHaiBN+kjBnyIHgsGWnDlultHqfMd8DQVrmSxyrJn8W32prjF+ocPVeLdEOYr4dUZmQZ1mqE8q5/VsfxAUGkfOL4nSmRO3cG/KdPX+HBu6t898VBFhsO5ZLLbysiu5xORi5WfKe0dlyES4jibHUT7ctbuXPnPprDc6zedoxbBmfoOncrJxpdBMqGadNhCQIqds5c9LpwcfHAzm//dr9364B/teYiH3/4/2Htvd8lqDSpTK7jc3/zWzx94U7rsJ4i/LC+2+mK5OGHgWc3JJumleDZ6WxZs8vJ6A+1YnxG8fpJxQuHPEbHPVptKPmKrq4ynqfwlLlHETB+p9+VR6grLDVKnBjTPPG6z19+2+evHvN5/pDH1JwizI3Iu/Du1E5s3rn44GoLRbyz+WPDKuJdEY/tp4ZgGcJlfAV37mjzvhtbVEowNiOdCrv+bfwsWe8nchw1woHzoysbxH1/JrhIoXf5mn931yS/8J5pzkxWODrdLfoCqcQTMpWRP32Xyt4DdLJU9WzkOGo/y6t1NPNY6oF2zaQ37bBEB2F0HC7WWDhpqJe6uTy3g/vap/E2jKMHF9m6+iyrLwxwrLGZli+WdLb+P+LeO9yS47oP/FX3jS/MvPdm5k0eTEDGDAaRCCRBAiSYxCSBpLSiLFKiLa7Wkix90iY5rO3PlmXZlqy11wqU1kqkCIqkxIREEBwQwCASYTAYTM7x5Xhjd9f+0V3dp06f6nuHpNb1fe/d7qpTJ9epOl0d2M4jX/xKriHplJQgAo7MV/G9E0N46uwgZjo+tOZ4JbtAmLwBPwpwzdIp/KM7fx9X3Po9oBRAT43jwYd/GXva96DjVTKdlepx8gj2vJ61WKC8aNs2PClJ25C3NV9wGhxA/CxpibyIyCy4eD8xiUr+5T7e7dC7ArqRwvkFhe+f9bD3lMKJWQ+R1qiVFaqV+Nt/PH65/qB8hChjsePj6BTw8CEPf/Csj794uYRnT3mYa3nZApzKThfYxp/MuSRvLummOqbjRRH9M3+nuFK/EtokHaeJoqzj0VqIn7tyBtuGuzjfLKMR+CSkKRKKHL5sqrtN4OKb8fdUrWSL8Zn+wm5TCr/44fX41Z/dhGYnxEtvLiGM7+sktB2+kUvekenXsoPKdEcXyTn5mM64zVMYckw/yZL0abTLWDy/CjtHF1FbN4f6SAtbxufQvjSAMwsjCCKf2Fsl5mV8GHtbdlAo+wrvumMEv/mZLbhmxwB2XjmIxmKIlw4vJTuPRBeW/im/IItrLjvzV61R8iPctvkcfupDz2PDzvOAAhYOrsVD37oDL15YjyAicUATPNLOMyVBE8zUPgQgZwvOGxj/7E8TPHyMgeMD44X0sep5/FQIQo3zEw28dHAKz70+gRMXlhFFGrVyGZVqGb6n0ttRpZcU2vFJIYg8LDYDHDk9j4eeOYc//rtD+POHjmDvvknML3eTPEvZOqD64XoAkc3o2PTNvUXYcU5tZsUpQcfW2ig/PqyYmY4nQccAhgc8/PR9a7Bz2yBmlgPMmR1Hy6XY3CPQ6OcZx1Jhq1WMtJwBsHplwXYDwF9QqJWRfQg4F9wULIHE4GfapJUT7+vq3w/vcVtL+fj6qbtR+/w/xUcf+M/QVxzDyFu/ik+PHsfgN/9nfPHsnVjWZYZPF+CUirSwB3ytsb2yjJXVGZxrrcKlYJAsf1x08scKwIhq4me3PY33f+iP0bxqf1x/4ir86Rd/E3vO3pq8fZUXSoMF6RwtqR/vX5QEcLii5IbLzv3F5R+Sv1HaefjlFnDglMLhsx6++F2N7esj3LhdY+c2hW3ryli1UmF4QKFe1Sgl64hIx/7eaAOLy8DEbIQj54HXjwP7jlVxZkqh3VEII4l3F6+S7FwGbiOuR5ef8CLZDuhtyyI5GJ86BMIlAAolX+NtNy/gU++fxZe+uQF7j5YIbC8eHfHANKlSnDTSYKyRvIZdJYldwhKAdtuHP1NC1CFv0qMi00nFS/DQBRV9Vk/rXL6SsU8CttbxLl9tVfyNRR2SxXECb55/SwM9oUsnM0V0nU4GwGFvFL978Bfxq1qhcuPL0OMTuPOdfwn/mSV8df5+XKokbx9VGmhPA5UxwGfTgqVuMsnQ5/GkcAFgoeNhocvexkpv8xN3O1QmT3Klth62cHPnEH7yzj/C5lufROSF6J7bgi8/9I/xiH4PmuV6zI/hSSlgcBWwPAUkbwm1Fw7MHtbQUvYvLVRevlini6S0LYq/81gbiy8UKCQ+yPBTH+VXqiMCy4eamVMZrwstYN8FH29cAj7/so+dayPcsE7jujUetq9SGB30MFgG6hWg5GUu3AmARgdYbGlcXNB4cwo4cNHD/os+zi54aIcKUajt3XVp/Lt2sRRrs3bZeBtBmy78FHKJjKRHes6PTbCm41Ujp0NTVlUD/O8fncbhkxW8/FAdUy3+4qW8/sVkKxfWGG/WGCLCK5W8wRJodkK0Z7voNiNZx5IMvD7BlY0zwgMtBo7XE9fO+bFpdF4IYaxB4dWJ1fjrr9yBT6CL1Tefxeod0/j4Tz6H8oMevndqK2aa1fgZZ54AmfCfvtbBnp/KZYUNYxVUBuIOftnD+IoKKiUP6dutFdMxfZ6N4k1pmva8MAOVALdvOoVP/U97sfKqSQDAwpHVeORrt+M7pzehHZA7WYw+RB0yGaVCZVdEKa7d/V53HJhxaS7YgfkLnYMof5x/2p2O3VQWDa0UFpa7ePXINF4/Poe/euQobtg6gut3jGDn9hFs3zCMkRU1DNXLGKz5KJfi93iEAdAJQjSaXSw0urgwtYRDpxdx4MQc9h2dwfmJFtpBiCjScozhsaefYuTz+tCxFZcd/u/SMfdlqw9ro25OUKwcLuEff3IDgo7GqUstnDzfyvOSwjt0ILt2rlxG4sixS4tYUzKlvHHewz/5y7XwFDDb4FxxHNZMUUC7iC9KX0oyKByXw45KDV3Cl0++A8GDVfzkez+HaNfLaOx6ER8fvYDS3/0qvnrgvZiCuXWVj3BJR0UL4gxmDG38zp1fxsqbv4bHvv0p/Jc3P4RllHr0tyONB2B7qYEf3/l1vOsDf4zmxvPw21UEr92GLzz2j/DI+dvRUfQblYCMn+pOsg9tV8jrVsItRUVh8WHhofCSLvmM0m/hk57NRxBqzC0pvHzExytHgVrZx4oBYHRFhLFhYLCmUS5lMaHVAZZaCjOLwOxiGYsNoBMU8UX1xv1VgpPkLJJXWmlKY0EaKxyWwvNjF88GLmkLZmGicRgBZ08N4JVnfBw8K71R1fSV+GDtJhkMNaDK8ac2lJdcrUr6p7eLIEswoniX5g/2j+KLR1bi1GIJOiSB1rzAI03gkL0tEkCWAComrkrhFB8TPPkqJTujjalEFqLLNFFJ+lmLTWRt0gIyuUBxyN+GPzn0aXwyrGPlTc9Cr72EO97516h/fxJfPf0JnK6uQ6T8eCekNQ3UV8dJTtHulnWrF2zd0KSC3wqU6ojohOstNXfcsLI7j4/X9uI9dz+I0nUvQKkIjZNX4ZtP/hweid6NZqlG3uBpaCRIBlYDjWkg6sq3PCqmZ0mfRSU3LJU9FLQGENrJo9VfEz0puY36fc7P7GbOWhAB822FZ0552HtaoVbyMVLXGKtrrKxpDFaAsm9eRAE0u8BiK35j62zLw2IH6IbEjpSmogoA8wlly8YXWrkEm7QxtLnQwv0ql6SZxRnXjzB+dA4okyGJK42uj2deWIPjC8BC4Au8Mfk5j7llBxPMmgIkP8iqHtwzhe++No+L05348z4UvzRWLf6Sun5uW1aw41BuutD2mMn15zpxx5JQK+yZXAf/q2/Fx6K9WHXLWQxvncHHf/Z7uPbhZXz5za04PjOKMFTu6ccwSci0OxFePLSE1/YvYev6QcwutPHdN+aw2Ajy4ya1gYPXNHnKy6CgsW6ohXu3n8L9D+zFyiumoUMfS0dW49GvvwVfP70drXY51w8Au5tAkMuanmlspHCuGE2a0gRPBk3RSLHEXCi1pntF8AnjisOnsFmlBhCEEeaXIuzdP4ln909ioFbC6MoSNo+XsXWsjNu3eKgPRXjpVBUXZj00WwEWmwFmF9uYnm9juRXEz7rmZCe+IiV5ZHxbhV6goHxbO86UDpiNTB+Hol06NvXpRR1kNgfssUjhCa5GK8JTz8wh0BoT89383AyAPsso+0LRWjIrP0DiaEU5F/UUNggVFprJOsa6Cs+13QsX54HicfXjVnJFC5f1gSWU8ZWzd6H99WH88tLXMHfHV9HYdA4f+MTvYscjy/j2vg/gu41hBJa1KZ0iuSR+gJoXob3uFSxvOg2MTqGUvotZ6sNlASqI8J7hc/jA7d/Alvs+j+bYFErLgxje+xP4j3s+isdnr0dL+TlZJVxuR8rzLfd34ZfapBWRFvpI9GiR9C/Z3dXOS9ymtUKzo9DsaFyac82+/eBSBbC9+bDxSH5RZDuXv9M2jbz+Oe+uvhJ/SX2wgHT3B0AQKTx8oIqnjlWw3KHjmNuP03KsKjWAUiVeoNOEgC56AaQ7DEmyoQEsdz0oBbQjL3M//lF4s2inu2K5xCjpQxIZTWUwC0q6qI40AC/muzWD7FX4IPSQTWiW+ElbJPERI4m0h1e8q+Ed/QR+PhhE5bbHEY7NYddbH8JgvYmXjv0Y9qhr0PRrMfLWdLwLSpMcKdHSpM3w54JP4RTshT+zI1k4e4iwvjmJj615CPfd9SUEW04AWiE4uQPfePLn8FjzXViqDmY4creYJngHVgHNJHnMLRg0sttija0L5iHp9lRaqF2o/FGQ6HUMUESvPNFQRD/JhY18Aq5kGrnExZZVA2gGCs0F4MKi8K3JItnFHcJkoEi7MK4k6nJ0XLSjJi4GExp8JzsFJeM31TdpozjI+WS7hF9/bgW6kcJ0y2d6ALMNBFndoubarYTT2DdrbrZCzC0qtNpRHFf4Dm0hbtZGYoRdp+wOOTuwX0k+qY8Vs2zdhKGH706uQ/mRO/GR7msYvfUoausWsPsjz6O2fhLffPJGvDK1DkHg2fgs2sm4TGiHEbDvyBL+1X8/gxs2DuLsTBtPvzGfvSBH4lW6aCQlyQmcpyLsGJnBR247jJvfcRD1jTOIAh8L+9fj8e/uxjdObEer5Ugae+nLxKacnMI5b+BTdV82Upk/8Ok7efQiw0fmQImQx/BYgjH/SsrgQISNK5u4agWw84oGNm/vYPsIcOJkBd9/bQj7LvhZDpHDy4onyEdLyjfRcco3Y1funG9TQh0fYz11DObbJhYKOlYAvUA2vxjit798DgAwOx/k4QHkElDe3mcOdpmJI5WSEqEaoPUK164P8H+8p4VqCfjMXw5gakkh7zxcGJdXcIejEUwcGQKPEs+KtWurvokS/nbyRkx+ayM+NbcSq+79AsLxi7jux38f1175PWx7/BfwlYlrMRvVEfU0AtWTPIgmdQ1/9Mg/wTtf/mk8cm4LGqmZOKytOw8a46Vl/OIVL+Ome/8E6rp96NaaKE2uwdnHfx5//tJH8GJzVfJMI/VwMQoLMnC6XCYJT5EOJF+QaBf5B4WRoqU0unu1S7xJMki88TbOs2bHRfJI/El8SnxoBkdxc3838C799at7CPXJedQFooaFVymFsUGNjaMRLsx6mG9AKEV2YPpUpXhhDmW/Jt9MwtbiPGOvrCJ86poF3Lk+wB/sH8LjZwfiB8tNAuirDKdGciskyKcSkCVu1m6boUHrGH36VsZSGaiPxUlOKh7hm8rkWlCnt93ZdANVwYvqeswdH8UHZ8dx/T1fgR6Zw7Y7HsPmDUcw/sKH8a3WOzBdGoHWKp888p2g3LAhkxk9l0wmtmfnSmlUoy7eF7yIj97wday4ZQ+ikTl43TLUm9fhT5/9DPbot6NRHYD0fUdbJ4m+aquA5hSAIKkjAlBd0SIlv9ZOKfMpSR8URxQBrdl4N5zfDiwuWBlbBToT25kPiIXuEHN8vXZe6bgyFcY3NTJf9Ap4kBJWnrgo2PaScFhJuoNvnuA6wwptVyh7EXYMd7Dc9bDY9dDVioVUwQ5WYuJi3OE7Eo6k/MQ9q/HATWvwN89N4s++cwldK2w7BHJdFJAu6kg7K8aelllUflfJ4KG2sH4JEsXgAXQDH4+f2YALX6/iQzMVXH/vIVRXNbDzXQexdvM0XnlsJ/7m1NWYW6ixdVZK3MYNoNnS2LtvAS+8sYAwiu8gEuW36owu6NiFlYwoBQwNtPHB8Ut4y/0vYePusygNdhB2fZz7/jZ846E78NzEaizTncZUx7CnXqpj0LaccoU6CLZJfunuFQQ/y8lPgntqN3pMcBYtjQrZVSlpD0CtHGHrxgBvGdO4eWsXa69qYOV4hHAJmD1extdfr+H1iRJOzqv4FlSqP0NDE54MCXpxwtKDzE9Pxl06di4vzZrE+BFHVKBjadlYpOukrVRS2Lq+Co14t73ZjvK8p7jJ2sVqL4izpPwAO459SEDKyrrG+mvm4FcCVEpbBDiJUSql5NwGhluwyAk4TmohacFM6zUCeHhyaTUOPvYL+LmLa3D3Bz+HYMMF4K49+MiV+/G+vffjc69+GK/PbMeFYAVJziS8xSOuBR97Fndgz+J2yG9wtb24hAgbK3PYNXoCn73jr4C7nkZ35Ty8yEfp2DV44ls/j88ffi8mdY1pux9+uL6k0dIvDg7P663ZWMBtRQbkdauFPpL+Jdy8jzR6gbzsLjmKooyLbxdMEb8c3uXvLr56RSYXHkq/aLwmJZzL4S17Gh+7rY3P3NPE554cwO8+ar59x/2s1wyF+AU4A6viY2vhaI61vdAHUhgPwPZVTey8YQmrTlWg1EBG0+z6mKvOhi0NgQahbVSaTmJGFJWpylKHsuG0BvjnWczkZ91WCdkEwqIwgo9DpQ2Ymv4IPvCdIbzt1odQ2nwcpe2H8Y7xP8I9+17Al46/GwfCXTivViFsTQNV82yeQi5RsnZChcUph5f6EHgFjcGgiav8E3h37Tm8/W1fQrjlDLQfoLswgumX34kvH/wEnvRvQuCVUrXYQ1XCn9QNrI5vB9aBbQdpx0FKCtNdQL4ALNAJ/fUA6BDozNo7j+KOR4Kfjk+RJ+II/OKB9Awp563om5HmmD/XmcoIQHM+mTwe8vqSeOaF72xSuPQCCtU1MnpKoJXbKYWAg43jRO619QCfe98s3pxQ+PWn1+DIQvISJusZXyYLv0iUKiyR2+hS9B1RIQCAzaur2HZjDatOxS9qi3Xo0iXTHd39SPUKgsPojMVPUBl01t9T2TflcnJTman9tQ1j8azRDjy8NrUaFx+/Az+1VMet976B+rplrN11AfdumsPWZybwndeuxiun1mK2W012oAiNlP9MjjDS2SeWtCQPk83gy41dDeUpDJXbuH7DJO699ih2vvUoBjbOA0qjM1/Hoee34a++dQeOLyW31iKR2bBJdcyDNn1pFh3vEeHHwNO4xpNyI7/HYGg8pGKnfAl+YfmsIgkY4z2lK9BJ6pSnUC9rrKkDm9a3cf3mLt62pYM1GwLogQiLoYdzB6r4xsMrsG8xwIV5HzOzHqLIsMvjmfEhxhIUsreHgsRByrLtd9lSg9jfGh9MXst/tYUqi9/cPoRuZHTJdUwESY91Hh+f2zQwtsLH73zqCnQjjX/xl2fw1Nw8iX9UvoR++v1W2PL0kTxeZuJIhRSEFtoOX/Lwn784DqWA+SZtA4Gnjk/bHIFQTFwkHjgsG5hOODf2i7qO//raJzA/N44r73oYV968B63xCZTe/2X82u6ncWD/2/HGoTvx9Om34nBQT9Z+XC5OPy+bdtRTvZQQYYvXxHt2PIld1+7FlTc8i+b6C9CVAOX5FXjz+ffh8AsfxINnb8GSKgsSSvZz6chVJPvzY4kuPy7SB/cTjpMGfBdNiR7XqRRNOQ3exkcmxy3ZT5K/Hz4lfFKfomOJV4671zmXWYIjJVxEfItq3n5T3RCHWm00gwEBh+SbQE5+VYpf6pImbXxyZIGdih1pBErhrw+M4Jkzg3jpUj1ejKSTewJsuQOZIDligtcsYNNXiLuSCtqxvZA9U0JhDUyaFDMd00RAa5uWlfh4mK6O4qtL78f0M9txw/aHcP1NTyEaWgTu2ItPbjuCsyd2Yd/5O7Bn8WZc0hF0fQ0AL8PjWiDzCacI3siTHFejDm4MjuHtG5/ALVv3YnDHQYRDywAA7+gOPLLvY3j87Adwvr46Thp1pt/cc5Uu+lrHz5I2ZwBt3uevbRl4ApFro3VM95JOLPpJexTGPNRYUi71TV2f0Uhp5Q7yCxV+4YInqqae65DqWJKH0+e7bGn45n5OaKbwPexg+bM5F/hwhT3XmHPpnqCOtMZ53cJsVE3egm2TtvpKtHJjg+B36TV3Hh9/44UZHD7VxBunGwjsD86ykKnzOuR25XDcLhp5nsBw5W7tE+jytRb1Kwt9fBJGChcWV+Avnr0FFyZGcOtbD2LrrnOojDZx1f37sXn3Sdz+/R148cBWvH56AyZbVURaCT4h+FeOJ2prSScZjqFqBzvHJ3HzzhO48+bjGNgyB78eABFw4dA6vPDk9Xj8zR04v7gie5lPDi8EvzY8MHhLx1RfHC+Qt2fakIEqSWZSKC+G/zSZpbqknXjcy9OplDW2rwqwe0OATds72L0R2LCugaChcHyxhP1Hqzj4ehUHp0qYbnlYXFLoBhWZP8u3eIykqnH4An+G0NILrc+PvfSY65j6sjgnEF5+GB1bMnBfibtMdSOEoU521nk8IXy59OOaZ1hRmn+ETigD//y30HzqN4k0HLHAZFI8FT98DwCd0HyrReov4eX4JQ/pF0dvXvvrEx9XEGJrfQqfvvpV7H7vf0N760EAGn63DH9iHOfP7kLz+DV48MUP49nWpqRnkd74sZHF5lcBKCHE3YNn8MDND6G89SC2bHsN3dVT0OUAgIZ3bDeef+Sz+MKRW3CuM4KutY8PFOu5qN3VRwnnbhl69y2iJeEs6ifJVORHLnwu/fHhc7m+5SpF+nPx55JF4qufMVRk2yLd0wWkBroTMg6lsHEkwvhwhKklhTMzPmQ9F+nYB8qrgC0esEZo5mxTFGRnpqwi+F78opww/QQAgcsthih+acEY1//Kdc/iZ971Hdz3h/8rlqKavYDMJYXdeEeM7xRZrsBsQK88iosHSR9xux91sTaYxIfWfgd33fQ1hOvPQ0EBnRK82TGcvHAVjh55O769eDcmRq6G9ss2fgGnTV/QGzuuRy18MDqGW656CKs3vIQ1m49B1xvQpRCqWcfBF+/Ddw8/gKe7N6NZGoDmi0GjR4sXh9xpHxXfisufeXTh4zIWyZ/7ZfitBWPyUiTf7y/0upJLSp/zYko/CwPrKjblM2HM4UcynwSe85aMOZkH9B5zkn+7fC1dkznkz50n/0hdzY+we6yFRtfD0aUKmoFHYomDTyksNuaAV74c37Js2RJId0dSgWREpRJQ8j0EQcQWhzQe0KqCedHsevBFbq4fiTkpyaL1GDsX/YT5mKXDDG+9HGDLmll8/LrD2PnRV1AZbgFQiNo+Fi6txNlTa3D2+1vwtye3Y2phCDpicgBsHAJ5w3C+CIzWqFRC3L9mGrvf8Qq2bJ3A2KY5lAa6gIoQNis49eSV+OuXduPQ6XEsd8vIPjmks50dwwfXiSCznFALOjZ24rLlEl8pNiHrn/oObNh0DAt+ZvQk+li80t20JsQ9W1rYfVMbGzcH2LQqRNhWOLZ/Jb57McL50yWcvFTCVNNDuwMEoZd8ezDRmUbGA5XF2vk0bdRs3JdJI73ww0Sx4CxZKaygS4tHqlNBP5YqyYmSmGE4rAsu2q6HQqWisHPrIDQ0TlxsY24xyHSQipbAaxW/KVYj02eCv/7uN9H4rd9DUbnMxJFKn6JgGrEd/MrxCO+7uQXP0/izPQNYaBYNWo6fByOpzhHgUljp2NVGZXEVZR3VEWJjdQb/4dYn0Ln3z1BdfR5RpQVowOtW0F1egdLpbXjzuQ/iwXO34lJ3GF57AO1gAAuhSj6HoZg0Mf2K0ljhByiVm0CliR3VOXxy816sfcu3EWw6jcrAIqJyF1AaXmsAy7NrUXrs0/i1196HmfYKNFPc/dqLy+0aXT8MnCm9dFwQrEQ5XHC9aEj89yNjL1jOIcAD0gAAIABJREFUj8v/eumkSJ4iX+8XnwTbS6Z+6CfHwVz8gXmRD6BejlAtA+0AaHZUvn/huQeUxwBVAjYBWJtN9jGYI7AzNks+8NGtC7h6VQsPnxzGq5N1pG9KVsp+flFa+Jq6lL0syP/KtXuzxDEkiSNVp7n9sTUDoJvsNhKcBp/n4CVH1+ahOPHVqEVtrA/O4dM7voyxm5/EUG0ZuhQAkULYqiForET0xm58aeoncGToOoTtlZgPyuh6JWiY79MiW3sY8XSmbAXA1yEG0UW1uozV+hzu7hzFfW/7G5Q2nEJpYAkodwGtoJpDmDpzDZ7a88v4Bq7GvLcCofcDvgC8qDTIpzr+R5XKCqA88MPh6OcqcZ9Xkn/k5e+L7v+P8vhKY2UlQqiBpa6XXVi6XJ5o4vgDlvfdPYJbrh3C868v4smXF+xn9n7U5X+Ezwg0lQIGyl1cv+0Cfuqd38e6G86jPtQGPA0dAWGzhMXpYUy/tBXfOb4Vr55fjfZSFe2whI724rVxqibFrg9pi05JRah5Iaq1AONj83jHptPY9dYjGNk4j/JgG14pptltVnDx4Fo8/MRuPH9iCxaaVUS6n9fV/j0UnoxIu2sUFgRewkP7STt0pCgAygNKvsaKMrByNMTNmwP82C1L2Hh9B56n0YLCiWereGjfIA5M+pibK2G5DYQhID6KRelY9I1sAiNFSAouXPb27wSPyEcBK71sIi27pSWcVBy8eB6wcrAEDWC5GWZvm5VkdtlVa9TfcwiNf/u7BQz8wLeqcok1a8/KtjUhPvvRiyhVA3z1uStJ4igtXun55SYdnDY/liwi8SIlIvSYpncaDfg40l6DB/Z+Avfvezfu3v0tbLnmBYxvfRnd4UX4Y1OIxiZwzU0v4F+GJdQn1mDw+G4cm7gRjy8OYDqqQEPBaw5AdSrQAw1E5Q48FWGz18a7R2ewZv3LWNp6EJ1Vs9CIF4alSAGdKqqTa3Di2G2YPHQPHt1/P55rDpKlWj+JBAS4forL64u8v1fS0cseroSSHrtw8lLEt1RfxIdrPLj8mveTYFzHkt5dNFyySYWPLxdtSa+SPCp5IU7byUfJ1/jg7S2855YGnnx5CH+1t+bgh8uWHJdGAFXO6kyiQicDpfLip882xW1lL8JHr5nH+29fwPm/K2PfdD351iYha3CaiYvv6jCcVtHkwHpejDSGLSDqkImR0DL0FeyEVRFaqXkSPtIkWTPeWR0UWl4NJ8rb8a9P/Tp2nXg/3rnjO7h67T7U15+FV2uhOnAB+h3n8Wk8ipFwLfwj9+DhuXGcVRsQdEaApWF0WiO40BrFUrImHvCADZU5VMsN6PoivOE5jKiLuN27iCt3vIBw6xlE5TaUUoBWQLcMXFqPM2d34dyRH8N/n70TE+WVto6LdtwsndI6OVkGVPzMo3nbKoV17ZhZL5KhuAXCRfwZ/NVhoFR3y+byJ06jaCHUa3HEd+/o+OkXXxGN9Ao5gc0a8zrO6d6AFs3vBTJZoYeN2X6SbQDrBrr4vfsv4MxMGb//8mqcXq7kZe59/d2Bn9lXA7nPYJD2d984ik89sBb/rXwBz+xbRBBEshyX65vmQhWPnRTeQqWRe5GOFH8LaQr1wq6c1sByp4wXD27G/pPr8bYrzuC2uw/i+isuoLp2CaV6gLErZjC6ZRpXqZfRvDCMiX0bcXh2FU41B9CYr6O7VEXQKKO9PISFbvxssa+AsdE5eOUQ5aEOqsNtrFm5iGtrc9hy1SQGr5yCV46/96i1h6jjozlZx7GT49j30pV44o3tmG0PJKZniuC6TBXkil3cnyC7uDXt94gPUh7bw+XjC5kuHLHNlQeUShrVssb6oRBXbgqwZVsH92/QWHP1MnTo48ikjz1P17HvtRr2nqlgdslP3L1oTWZ4JDDWMeGxHznSKY76F2mXkPCYwfvleO2DH06fhwpOJ/fSKTP/KRk+ARlbUcK/+1+2IgiBz/3dRbx8aClP3xT6XUoIOu5RfojPcRgqRVrTOD/n4aHvjcIvaTQ6FJ4y3Y8nSPS1UAfkcUkLYEkOiQ7vK+GL32PxyNIqPPHMz2D3Kx/C9i3P474N57Hj+kfRWXMGwWADUa2F5fUXsLz+PIbxCH4cmU1LywNQ7SrCwQbCSitFrZTCjKEWeig1B1BqDKB6YTv2H7wPe89twqun7sDRzhD5JIjEfz96kWTmfSVdF0U5Fw5eJ+lawuuizflw2Yr/ch5cMnB+XPRccnJcudWCwFuRPSS8/LhIBmns9GNH17gQZA4XkNdBht8DsHVNE/dcP4OTp82ui2QjqpsExh8GvKqNXyX/rAVMssBxLcw1EGiFZ04PotH1cHy6mryxTzOcfLJ3TPwayC9QjcBKfuOj1kBnkQAyXWqia+u2HHZuJkNpoup1i55SCFUJr3q7cOjolbjp9AlsG30dbxl7HaNb3kS0YgG63sRc+SIG7/oK7vcVVKcKtTwAf2EY3eYozjVGsaQVIgBDSmPTQJw4hoML0Cvj/hoRgoSu6laglobgT6zGi8dux2tLb8WhqZtwtDSKwHwc1cgJ4ZjqhibRknxWH6MXnTzzOA2EHRk3Tcxyn3lg9uq1IKTylIeB0oCNiyc0lss75OG+ZgkoyG0OKF0eiiQaKaxD/2IfFhtEXiHIRvqkT1kI+nH1t/Qn2UvAIeFKeB0oabxzxzIOVKoYKEXF/Q3/mtPLRLL8Sgv6ccUWAN8/tojBxz28dngJYejwCasIvmkSPishVHl9cdu51lipPC56BfaWLlKY3ZBcsgo022U8fmQbXjq7HrvXX8JNOyax84ZjGNo8jdJgF14lRH39Iq5YfxBXAAi7HoL5GoKlCsJWGZ2lYcx1fSgo+J7GqpE5qHKA0mAHpaEO/IFOoof467th10ewXEH74goceWMbnj+5FvtPrMWl5aH8DiO3H52HqD/0tJlUiCLS7o54TuMb1S+9xdO1q1hQyhVgeDDC6sEQN6/r4trdLVwxHmDLihBeCXjtcB0PPTqM88dqODDh4+yshyhEJj/n2Vlc45TPj/2h6AtGA2KSyou5o4fqmAI7d/L64If2pxd+6CdZcktKM+40qhUPt109hG6g8TeDju9iS75TtK5xlB/gGUfKvTTjWFpF2VcYrMZtC02V3GlVtIC22BNwS7ASLomvor78WGrjeCWviOs8aKz2AwwPTGNbbRo/sX4/rrn6KbTHL0EPLMc7i8MLiKotaHMPPJsHvOYg/KVhYHkQXmMA1Yvr8erhe/F3l67G2fZqLDTGMBP6ZKHL9SDpxGVulw5d8vPioi/17eU/vWAgwEqjisNJxcVvL18v0rHEr+RbHE6yY5FeisZAEd8uPihMES3eV6AVtYFgthCnrzRu3drFzk0BDpwr47nj9HtXEu0Eh1eLdxsp3CYA4yoL7EC2MDO7RQpZMCaTmdIagxWNihdhOfDRDgwcYJLLtC9PQDXsXSjrjY/Jrar3PYH7/ug34mccDYxClkh2loHuYlwXkXrF+DB0JbcIdcZHpN1m7bVoIXQrUQejagnrcQr3eKex+6rvAmum4I3OY3jjEvyKTsSML5HGKkk+Jg8NlS6gyO/SEKKFlVDzo+ievBafP3s3jlSuxPnuOix6g4gUWcFIO39c35aMLIC6EjmuR63j24TDrq1TqhOJJh8W/JMsrlIaAiqDMm/cx6g//TA7OUV1hhY9p3rvh54LRlzssAWtKpBPwt2PL5t1hks3pnDawvFoJcBPXz2PqYaPb58dwkynlIeVZOP1zfn4VtUwRO45LYk/YQdqsO6hWvHQasWv27feGWFNAaS+L5uB2FuTuj76GdquiwRFOrpc+xMySmkM+hFWjyxi1/hFvH3zBQzvmMLA2gXURprw612ockTy2TheSS/T1YjnAx0phI0yOos1tKYHsXh0Dfae2Ijnzm7E0tIAFsISoqDAdpRBXvjnMdLSj98n//oe6wStTv4KbjnlxQyvkq+xeiTE+rEQu1b4uGP3AtZf20FNA515hXPHynjiTBX7T1dwcaqEpS4QBCplt3BpbkrRLbWWzNS/+sQp7pbn0Yl9LFjHmATBYXYKpfnZVYrs6ipScqqBoUEfD9y3CloDe16ex+kLbZuOgjBHcvoa9ft/5LeqKvbLucrDjQ5q7N4U74V970gJzS6Hc/XVpI07jmQVelzkVdKI4rwUDWoXbRtvBIWJsIyJxXU4vrgOT0xeh8rrD2CVbmFzqYV7VrZxzfiLQO0CtCc986CApa3YP3ETnlqs4VxUxZSuI9JAlHvZjav0spOEQ9IBh1eO8yI4SV8SX/TYVef2tzwPLr64b/H+Ln9wlX5gKF7TR4o0vF2i4YrKEk5uD2mMXc5Y47IKPIdLDCZv11ADr54p48D5Mro9n9UxNPwkaeRjVGeHnG+N/POB5NMDnlK4dmUL6+oB9s1UcXopSWDThIEuzggeulvDdxfTXSojO2HJrFyiRP/BcsarBxtPKqLKkjr62QS6aKTq4AszKRzSSdX0I6uqjlfBJYzhEsbwqr4JA2+8G5ub5/Gu6jLWrnkFI+sXUR5chF9bhl9rQSlmQ60QdioIm4MIm8PoLq3GwsRuPDy/Bqfq45isjSMs+fFjhr4jXht5jd5yoYbJwHVmYOi5KemLGFS28xh186tKmpDTW435pEtXpFLRGqiuAMqDMpy0CyO9Lda1i8ZxXc6uj2b0XLBWqCb1kQMmEnQvXXSx+JTGFYVzLOxool0UtnMLJ5VvI7ae7/r4i0MjiLRCM2Sw/JMcLv24dh9zMoCFUzp+NbZtrGHbeB3Hzjdx8HQDOkTaZulNShqtJI3LbSmI/BCBpAV1esrmIdNXUWG47bgPCvhF3PG51gpLXQ9LUyM4NTWCbx24BsMrWrimNI/b1k2jNj6P4fFF1IeaqFVDDNe78H3bKbQGGs0KlpZLaDarWJ4ZQuPCSrx+cTUOB4OYXBhCFCXPcRv+xDfJJvKJOk74t5ISqtMeOqY6kHbnFaGR7tbSdmQwGsj5AymVSrzDPr4iwlVbOtixqou3rtcY3d5Cp6Rw8YKHN54cwr6TFTx9ycOFqVIaOrL5SJqbqU5skbJn/gis5MfmExvppzaIH1FaaZNiMJwX7sumjc8zdL7VWTt/oY2VzBXYk+qJj3UgD0/5oPGKXQBrNEN85YkpAAqtdkjgbTbt9QzBB8Qvc+q9l3g5iaPLKaT2rP6adSH+t0/MolwJse/fr0VzXolweXxS5Of9OE2pzbJMAQ3+K/EotVE6khxmjeGhpRXOYQjngkE8Nw1g+iM5WFmGPLZiuVyF8w3hWJJBO2CKaLiK1Cbp2mXPIryOQFJIy4WX1hfRdfmyI3iKNpPqJFk4viJ+XHXyOM3Tl85d+FiJ2oDuwJYlD+cr4K7tId5yRYAXT/vYc4iPI0ov+S2NyjxYk7WpJkGbXmqm355TCiUvws9cO4t3XtfEv9mzGmcPl5F+HsyiT091Niw8FmfoxECfV1DI6JvSmgM0eU5JIVuER9rmOxcuyQRYuPvC9NBrsSbiUmiUB3GofBUOAfBnb8DQZAND5RrqAAZ0FOd+xGVCAC0oNJWHRmkAi+VhdPwKMMpoFF29N5OYaxfPkqFAB05ZyTFNHmm/lE9hLpB059r5rAwnSaPQr287wLZlSpPJwvHx5DqHW6AvyaRYfXqMzL/5DqnHaJu+Bp7z6ZKBw0iJmYs/Fz7XNEAuAoxUInzmugVMNT184/Qgplpkx5E/cyzxmTHAiF6GXMmC8aN3r8In7l2HP3/0Ao6da8J84zu/2CU4eYyQdOzcKSV4C5M7zjufrzgcwQeBLwm3dJ700QC0Vpifr+EFVccLM+tQOhxiuNbGcNTBkOdhTTlCWdkX6bX2MBP4mAojLKsyljoVdLp+TCMnqzDOON/iBR3BrhTemvapTnis5niRwUnGt+DJvJMuWRUQAeWKxqqRCDtqwFVbOti2vYVtqyOsqoWIojLenIrw5J5BHDhew4lFhUsLHlpt4bGolBahk4s5CSxfjqTsU98kVTyplPRrjnlTMnby+AwdPj5I/8L1ksMmFJza08Q7btuUjMv/CR9UV+kFv/h0aNDHZ+7fgBARvvnSFI6faRP5BfYhtCndg4+4XEbiyJwi18Y5iAXthsDiYgnlks9uU+3NXG+pXQGFzwYuWr0W/C6eOG8UF08YeuEp4oc7rIuGhi1rjwkq1ybhdw3MIl5NPee9l617JUFF9uR1LlyS7ijfHI73EaORg640VorsUnTu0ivH65pQeCmCB/J+VMSzPObt3Uapfwzn+8Ct1y3ik++bR/nhcew5RMMR5weANwB4Jci6hj1J0smLwlmL2QzPcsfH/IKPTqCSHUmuCjPhCbqXFuRk5yPlkO6KKAWE7fgvxSvwaHClC20ii+GF796kclN66F3oItLwwY8T3kK/jHlvBeaVB9RXA/QW06IFe8oziF7z+K06usvHEzbTnq4HGS1+zBflhgeT4NfGkttW2TOPLlxSkiiVynB8e6rZ5czpRNk2o/iMbXO7alIcpDpm9kzBCC662EuHj8P+OV0IcSRnR5WaTLz9uh8dO+kz8YEsSS3y4XScEXxpmGI6VAqjtQC/+O4JHDlTxbOXanHiqEnfNClnsS4nH1ihY4HwZpmVdFJAoxNhdi5AoxU5phcz1iUbCzxR/aS3wElzuC1aDpemtnXMm5YtbblstRAZpPnD5RsWHo0g8DG7VMesrts6gUK2u+TAZXiw4gUy37KmGsdYILxY/pLSp2pgOs75l7Yb0helsHGfmwMN7eQ4waUUsHokxFUjwFvWt7D1uja2bo0wqCLMnvXx2ukaTswAJ07WcHwaWOx6aLbjXV5LLjNBUpvRi0xa4EMx2FQEZg/mJpkMYDSZLaz4RLsrpO87sOIiG/PUd3O7m+QwZxNCJ/UdZLyk8sOOUVQ/hRdPCHxOx8DwoI+f+cg4giDE/lNLOH62xXQi6JgWKw4Vl7+Hd5ybEivgjXM+/ukXVkIBmFlWsC3NC2WYTDzZKIJlVOeilji0MznkHpfnXYbRyPNWxF8/8kp9OE8SfYlnSScSziLdAW6dSPh6ySjpgveRdC3Z0CU/1yXQW2ec/37hJZ4l2/XyT8CtHwm2n7YiGYrsL7WZduPjRb5tAm2AeLcRAg5qT40oAg6fHsC3v1fBwXM+wcP7AvEtqisY39o+p6LkduqUfRsbYbkbKfzxgVE8eGQFzi5X0rvrYhg6GTPyZhLLuU9yENFJm/Bggn1rPm73kd0iQic+/sxcpMnHoJme6Ftd6W25rl0RaVEpXS13HdPbeFvTycfsS/kk1bVQTasc+E1fuyIPw6/YU930SkY1sqScXkCvjgHtmfzbVvmxNMlLMqS3p9J2JduAL2LM4oDi5jI7dUzg+XOawgUO69wlTz+JnXVMeJTeSCsl9P3qWLxA4OBT4i1d+DH7G7hEtuWOh2+/OIRzS2Usdr1MLmpPfm7xwHSRAdj11Dco7+SZpi89MYnHvz+HydkuOl2dyWDo52ynM76sWIS8/0kfIs/psaiNyUV93JIPtt5oceKiVS7f0GRcEB4sdEzHPGHP6SSpo8+k5vybzYXS2LRYJQCCeBnPgi1z/Shd6scqszuVK8FVKUX42G0NfODtLXiDIWZPlrF3TxUvTVVwctLHxakSOiEQRsiSRTPdWreWJg38OH3ej/TlF26MP5Ku+bFNRJR0QseWNY4cOrbGiIO2a71p0Kb02JjiNs7NtQSf4kw5dJziJePY4E5h477NToQn9s4ihMbEYjeTj8pmXThzxCdn8pqVH1HiKCk6/g0joNEBlHJdraDH1DJsMDoLc5Ic/h5BKLdIlnDwdlvGPJ5+znlRfcBQOC4b55V7g3bASrOaxIsLnzTYJH55HcfLI4Rm7bz04x9UV710y/2gH/tdLg8ct8tmElwvvjiMyxek/hJvLr8uKjrZbXTp26YVaOA7b5Tx7JEymt0e/JWGC+iqbHJPA7Ym7JMJgiY2yYJaa6AdKDSQfKONX/k3ARo6/2aFlE1KL2MrriI2Mv07C4CKUh4sN+XmssKjIosAaVwlekj7EH5BznniQItTPjJBWu4VAc2ZOHn0C14cItEwdFwvoKHwUlImJYecd6tPIkCvYVAbAxrTgO4yQLYYkGSiPFVXxG9PleThdOkFA9fzklRPvXRG6dDbRV1TIk/uOB5+AYX7lyv568Ubv9jgwpHTB1kASbJJfNF6p48k8Ilsk+0S/tkLaxFEKkscJTmcySqFhWO5Ivlw8ktItjsRGu0Q3UB4u6v0qYOiqTc3dsg53Q0pun3NOT2YGHoZ/pBjkKKj/BD8Ll6KdJz+Ih/LJF6txK+AbhqSaayU5CETiy6Qp5CGAM5f7GK1K4tEFCkcO1/GV79exWuTHs63FObmPLQ7HjR9Xpm/uCZNns18m+Dmy4V059rYX8m6ZizmZHV9NoL3cSJj3dKdZgFcS78CPT4XUjocFweKVN5O/DMb9Nesa+hFAUqHjPn5+RC//aXT0ACWGiHEIsZwruPe5UeUOFJN2dJfuz7CL31wBqVyiF//03FMLvK3P0je4op2knVpO1i7azC6+oGdu2ZYqXDYov5cDg5zOXy7zl36kYoE5+rDeZPtXsyvi/4PUsfbxBnD0d5Lx+JqRGiX+OvVXkSjX557TDYibY6ziEfJNyV6ZBEctQkc72+PSQVgzbDGxpEIF+Y9nGxL/QCoSvwm1Rx9BqsE/sykbN5WmmNboexr/NwNs7h7WwP/z4ur8Njp4fjOR62SRS1fUEt6A7LFiLJBOGgYAEGTTEIEr4I9adMrxhoZL6kqBV5yC2Nic/bW19yCup9kSFwERvHOY30VoPyML97P4svIxfXr4MXiicScogUwp6tcOFLkmYsOrgYaU0AUCPyobJHIZTQ6rrBPbuTkMnY2dcrWhSQ/TSg9QX7KE20Dq+83eeJ6NPD8zb/GP41YvfxFEzhRN8j0YfjkvHPdc/6p/C5eXBcdiNxVL8J1Iy0sBz4OzlURBGT8cB0WJs9mfFMFGDkglGQMmXGuNR64ZxXe+/YxfO170/jCI1PodKOEDueD4jV88rnG8MdkoRemUjkdcw0dN3xusXRuMZZvNzQURUxgc7ZnOtZcVsqTiXWmK5eD+bm0duQ7kTmeDQ0e7BkPuXHFbSLpk+MhVVRXCsgunnK5jFhxp24I7Dlcg0qOI/NohuUTYPGD8EkTXktkUh8l8mkiJ/0UDNcvVUNqS8GnLXkJzRyfgh4MLyZWpjiR72v4pbbVFB85NrpKZWH+C20fKqE9PWV4hJfOxQk1Mh0DKJc9XH1FHRrA4VNNzMyZi54En+mbql/Z7fS3oPTx9RaLY+G3iIjG2FCEm65fws07F1Et2W12X+YkTrp8MFFcPMjRIMDhXP3Azl2wEPpIQcNFVyFPR7O+RfW9YIrkLeK3V19VcC7xzvHy/hIvEjzHy4Kokwcgb0sJxlUv+QWnxXmjsC6eeuGQAk+/+Dm85MtcHs5PL18W4KIGsocDpb52XdnT+OBd8/idXzqNj93eZvyS4g9Dlt/hB+ktorBxmQVkpLM3mkLD9zSuXdPGW65dxvhwAGX600W8prgTugaOvuVUk7qcDyd9uvNxW5oM8kUROeamMztS6WIxaSsN5RdElA+V9E13nujESnDzBRJ9lo7/cp1Dx88HRkHCs9DPTNjWm2lVZhfKCy3SDkA6FDVr79E/PWfyG7tSmQdWA36Z6IbQgLb1ZPCapNEfkOnSZ1YVsltFJb5pSe1O+OOLFoojYv5laJvjIh1JbzuVrr6n7UQOio/3s96QS3k28LCHjYtPnsyKu5HMJlxG6dyMe1K/bijAH/zkWfyLey5h40A366dA4gGTmepdLFRW6sysRPb4276ujjt3rcAV62rkjjuhv5LqpXPDi5br6UUO6eXvaQzm8sDi2x44UlygcAJsypqhxf1e0qEZB8o+50kK5bmILrdzXzwzHSuVr88lR5wf1k8T/+d8pLvDyvZBeuto0t7pKLQ7ClFk+iZ/6ZvhVEZbGvuUfy3IrcyvGaOk3TWmua3AdU54Snkm7ZrWJee5sWjqyDgleonJMt2msjD6tH+6JElkBpFHU34VG/ea8UDlpXJQHRp8mdyjIz5++5e24t9+9grs3Dog4/PAcBAdSzw4ymW+VTXlQDjmxGLFvXHOx7/8k41QCphZBusnLWAdi0GrXhqcwoIzVygNTpPj4Ys+ftwvr5yOi0+XPEVyCYPL2adI3l62leTk+Dks56tfPov4lvpSnUr8SnqlvLj8t1/6/fSV5Ob0XfaRaLrsK/Es+Vwv/+N8SXgFOlHTQYfyYPtE0PHQbpTQ6irWnvRVZcArI18cPkZ31OiOCEXtI/4WSBIgOxr43MtjePjwMF6arCNKX7ZieFAZblOtCR1zTiexdKFK47AGgqU4sTJ4Fexb9SKdfJpCZXgNPr5zZmiXqvEzdF4F6MzGl4/5i3L4LhWVy/DOPy2QTobcJgwf5V9H8S2e9VXxM490EpJuo3LtAFFZXd8ylHYVqVypPMr2BQpHZac80Xb6whzKi3FpU2f8wzzTSBNhyh/XMZeH36rqSnLTBQhsH6SF8kf7Un4pHj7+qI65HWg//rkbp20ID9rAJnSt8UB1TMYZZZH7ck5flDaRh/axZGTtyWGkgVbDR7PjZSbN2Y7Jl9KXYDVyH2Pnt4OaPuzS/oPPTOHl00s4eKKZ3a7K+1hhWfAJQ9Mj+uW6kOYYcZtB5eWh9qS8UQPmvmMp0CvcvWXdJB2a2yzT58W0LKuAVuSJxgsjgzTuLDsQHFbsccgsjfG0fwKfswPDY6Zbepun14MWpUdhU90W0FR9HFsvXhLazWHuS3OWQpDOi67iSbAOPWjIPp27ddMxHiIGK7Cav2XX+Bzrl9qMM2Ns3kPHXjL1LkcIAo0goHEugTFj3or3EuO9yw95q2qRBWMmJhc8fPfNMqCAZocbgP5qdsyr3JI6AAAgAElEQVTrANF4Fi+mXYKX6FIl0b5SP4kf/os+6yWeaSkynmRkyls//SRZKE6XDiXbcJySHYro8GOJbxcPFK9Ux0sRnX76S/VcZkk/UjsEGAme0nDpwFVHabrsTWGl9qIxTvjTIbLnwbh8lIdMhm4EfPOFYbxwcAhTiw57+kPorTvAXtgmeMwklHZLDjSsRWcYKbw8Xce+2RpaoZesHQnv5lBc8JMAbiUceRahQ6CznJiSTl5s8qTPmKT4CDJrMQ+gOhDj8CoARoH2rM0/XTgRli08kntZbqfIgojYw/CvQeRH/HKZ2iigSdIvLeQV+eVhltqK3+LFb8GiuKguCSqxv8doSImrSR6b04g/OqmzRMkkYSrBUR6Kk0Zw+sxvFWA9i0pp8VtQuWz0AoaVxDI/MV1ogpX7xqFDt4BtTzqGeILXj46N6Dy5o/jTW7OIHky99CkUKiO/KJHyy3RidYLdJvkyFC4ulfDZv92IZuDhXLOc8Znu+rMYyf2S85AmHpQdgU8hcTpwdBlHTzXR7kQIIwJnK4Pwp2Sc1ktUdMaDonQZHgpnXcRSmW+IY5HjU9mtdtROKSzhDdrGl8Yk6qfILhBlRIkfJAeij4O12Shy/XiQpOOOxjIiUn4cKVnHXGxpLNnMGWUIcULn67kd6ZtZNe3L7cvsntqL9XPFTiQ4KK9KZfQtW0HWi0Wfjx8qE6mjt5amdiC+mpvTDG2mQ0knAKwX1eVoGx5VRtM1h5nO/IU4kq8U6HtmPsT/+YcnoaFx8px5ZMjwoDN+QfBJsSkXL/PlMhNHat1eyGPhtq6O8P5dHfge8P8+XcVCs8D5Wd+8AVkQ7LkYtrwRtiNwmDzvbniJB6mvREOSn59Lush5lIN3jbys3GYu+aS+rnOpuPiR+JP06LKRC5/Eh4t3SY+9eJf0JNmBn7tguIy9eKJtUh3XlQuf5JMuPXMeJZ0I8kUths+lg6xNQ2GxFb80a7kj0VZJMuSyp4NHE6SlIElLkmiWlcaPbV7ANSNdPHRmCK/M1KFNsJU+IUAnTbPQpO0pKSNnUtpzCU7Kisr6gNSb4E3x0zoD45WAci2Tr1wB1Fj8vKE4KVI9kUmJ7vJA2XV8guULGW2ETOrTt63OxsmjX7FpKti3UVIT0smX6pvrmdLOnQv+AEV4FPpz/UiJe311rNeom7c5VJw0VobyOLgv0gUM3Ynh9pLk5MkaX1Dy5ElKqKjONPntR8dmkWQ+K2LddqsYnMrz3EvH6XhVebpSP3BetS2TgUnDBsGlOS6ms0TWQCtcbJTQjTwEoWJywh5fXMcpi2Scu+jmFoSkMWl7520juHXLMJ47tIA9r80jCAlsGiYFXVvMkBhqeDN0U7kEm/HkSkpouAwiPkIzjXeWsoheOACzpavw71qKOjH2ImMTdrPVPzcVOnzZxCDjx9xdpRgqjekcnGVkRo/4Hh+LXCCe2FIeUxIF4zSla/qROYPPC1YyynEQHTGSlpw5O+p8n5xMrr7k2BpnFJaMD8u/mY45XtNm4RB4pHNQzl5MBakO2ZxhklOi41BrXJqJ56Z2N7KRSOOyUMfF5TKecRSI5f44LHDFqhD/4CMT+NQDFzBczY08cqwL/jic1F86z61GclK5C6XL+dYMRhjMOZ64jiR8RXWSfqV+itVLwYbLJulH0rMEJ8lVdC7RMDi4rTmvEqzb9/J4OP9FeuJ6pDCSjjV6yyDZAcjLwP2L1xfJwPHxMdBPn158g9Xp5KU4XMfS+M76lz3gvTd28K8+voQP7u4SuARn+kIczg+XgU4CZPFDf01wTLsncJFGydN4/1WL+IX3TeH6dS140Fkwp0Gd8kEDt1kQ5m5NzNp1ewEIuzIuDfKcG5/cCD5znn5qA/GzdED2/FGkgVI5eUkNwckXNnQSNwt7mgQAwm2rwq+haSY061MgUZw8dluJjnT2fGmqP531p3bJ7aIwvs1xpPP9DO50l8r4RHKsCDwthheKj7t8fRWgSnYfpfJJo9GL0XGOP2RtKYtEt8ZZRX6IImhyZn4jHd+KLdGmsJrowhqqzI+pf1P7eyA7mASHdRGCFY6PFy4P1ZkUozivVGZp6qW+Z+AkHOn3NoG1tQD/4W0T+I2bprF+MMh2mqmOrSSZ4OHj1/CTk9vYlMGZW+aTOPKO61fiF39mA+66ZSVKJTI+wWTgdRacY46kcrgWj1IymTXacKleNYPjdje2Yn6YxmHGG5jNjN5ydbywcWOxpLIYKuHRhBdQOEHHuTlD8mUOQ+ByCayJkzwWkrFkXqCiKAAp5rZK6u9WPNXZBc30eUiGK+IyCzHaJDnU9oZXA5ryrQg+bj+Dj9RFCb5I2cwbHJZOJN/nuJUtK+Ur7acy3aTjM48qU4ehTcYw17G4/iKyaKKPlBYZT1THhObYkI//66e24Z/99FZcu22AycNii6UHZitx7NjlMp9xZBOxc6Gc9Tk/5+GJPWtQ8ZDsKvD+NLpzWvyX05TaaaH8UlhOj8vpwsPbi/BZHsPOJRgJB9czr5N44sdKOJZ0zvmSeOD2p3hdPsHpu/Qn9eV1RfR5KeLRpReuY37sws2P+7GpdF7ky5IvsQBqwXEYsP4u/L34pbgJiO4gr2MDK9XHHyHesLaFm3bN4+jF8TzeNHHsZQ+QhQBZTIkumZyo7DfQwFMnhzG/VMexiWoSt0lnjgtgz6EpFuQ16OK12w2ggwagakiTKzqRSZ9eoAt0vhA3dPwS4Fdj3ujzlpEGVCn+HmFrBrlnf6iJ6fNv6YREaKf1yO9+0noqB/30AzTQmQfUSsCr5t+eqrh+Ce5c8kjOzUQv6RIMnMcT6SID/Z6h1c5k1Tp+YU5jCvE3SxEnjDxppLxoouPUtwh+lTTQixGGef5sJ5/40ySOtVsiM9+R3sbK8UHor1i75jBEbtdFBsV0Qm0ntYlXyiH0SYRLx7oiuiYySN+SpMfW7kFcVytHuPnaBlacq6B+ILL9nBa6IKdJDgxencHldjyoDunYylAACt8/toTRb87iwIEGwlAXy0B5Mvjp3Q6STXruNrD5oxCH4Ac5dCQWp7E7ORTtbf6x+cfUWRcZ4NAx45mwa9VzGbh8vI7HDT5eKH1Rz5LPMB1ZO6nER9J5Ssm68wh8qjNKmuDNbScRPVGepHVE6oNEDjj0Z8mMnPgAkH6+IsVvcCs2p8OuN0lQLmYx+hS3JJvBSfXHE2tNz5kP8xhJYShNaU3Oec+NcyC9BVgB5arC7l0D6IYRRp4qpfU2XjP30CrOV68YcFmJo8PYuaTBlJiz45M+/tO3qwCAxVbuq5ZgEjhwcxqKtfMi9XHJIhUuB6VbxK/Ev/Qr4e5VuDyOgSvqTLN2TrvoWJK1KOhxGhyPdA4Gz/vSdopD0oE1ih19XaXIZ2idyy8leXmdy3d4Xb/67qU/qb/kD1wGF13OgwZ0G3lbcT/LlyAEnnt9CI3ZOl4/7+dpK3Obai+/N8GQLggU5O+P5fsHkcLfnhrGw2cjzHd8RDTgmkWgOTc7CtbLS4i8bPGgI43FhZbdJr3sRVxUkT7pYoLwUFmR0TJ8Wle8y/GzeR3yzGNu4mR8cN3SNr7j5Fq08sUadLzzWB0BVM1OLK0wRcZIji7ctOgup8i7tu2Y6FUpYKwS4rbxJqZbPl6fqaMdAgMljfs2LGKyVcKr03V0tMJ4tYvdq1qYaft4baaObn11/MxjpRonja4EyRxLtpYWM3RHjLf1ShKMrlOaRMdGp85ErgB/r8V/ioDFElc/y1dJvevWaK5PCa+SeCB0ihJijt+SAZhulfB7j41jpu1hsuW79UDHohFUWiQbn7R478FL0vbo87N4at88lpvxSzDs8Mh1SmKGOae78GJya2g54PhCXvRHMufl/IfIKsE74mjGDtUR9XUuj6QTAR/XsZggUpQOHad6Ym2UT1EnDh2Tuatc8nDDjgGsHS3j1cPLmJjtwPMVbrxyEFesqeKp/YuYnuugUvFw45UDGBsq49Vjy5ic7lqbZ7b+wXgBct8TTFWpSR3xYesCGFi8EGAt/yL24bSoL6QvXNI2X8aGFJfmOqbwZG5J50LYfKZ0qEwUL2mnnxexyHBdSbalzdR/mD6ofqhOJd+DwsJSiD/8m4uIoHHsQhO2AgweNt40kBs32lKcWH7AHUepjg+QuH5lPcLOTSE8pfHMkTKaEYXjeFjwsPAW9dPsnPcFbN56KYYHMo6D4uJ0JV6L2lyyFPHuouHCKxVOS2qTYLisLrzcni5dcl5ovUsnko5cOCT5JLqUHqfdy2ckv5X4KNKBxKdLRxI/kk0kH+T9e/muxCfFoYCoI9CVdGKfR1rjlTM+9p/3EIT0TTYAVEkwm4SXHGvkb0+0boOEsCOl4SngyuE21g4EeH2mhjNL5UwaOtz4IjeFEYJ+Mvl0mkvQmtiNJzpm8uCLWAuOBPR0MVOK36ZqkFjmJf1VGVAj2fOV0mKZL3hpQsIXUs5kV9l6MpNtupOn4p1HaKA8QCYnlccrJbe05HjivDA9pAmjtmRT0Ngy1MGv3DOFfcfqOL5QQTv0MVoN8W/umcNjl8o4/L0Kgq6Pq1a28ctvncJrp+o4PF9FN/KB+lievktftN74IU/OKM/cDuac6tPg47YEyPAm44PjsnSFDE7aJZH6mCImnAk+V5uUfOW+lcpocl3m/IUMdPMNVAj0XQvXHJ34dKHt4fNHV8RvV408IUwze/FExdJlzFJ+J0XQh6WKuG3L+iquWF/FsbNtHDnVjF+Qw8d+itP8M/LTOMHHrs70BQZH5bMW8gk89X/u9654kUuoCT5qS5ef0+/yOi8KwI7LhRc+YPPL7Wj5LJUPsHQcKfIGTENLoq/ID6PFdgerVYUfu2cMd1+zAr/1F2cwMddFuezhgTvHcP+9q3Dq3x/F9HwX9aqPH79nNXZuH8Bv/8VZTM12M1fn3zGm450myKmuE5ldH4fPXbSRbCvFHmWjo+gVyLgQ7MlLjm7ugOAncdGax5G/EFI0F9GE2SC0Yi7TJfdzOn4ilb0PwLVG5fHUKnbf5WaELz89Aa012h2HryvA2mGkIEY3RWMkKZe540gm+8LfjJPrNkb4j5+6gGq5i/v/9TY0582AogtNjpu38WM6MDWp44W3CcEqV1xK4zi0UFeEVyqSbEX9JQcz8BrckfL6kuzHcRY5DaehkMfNcfSiQfXI23lkkfQNoU2yFfeVIj1yPBKcq38RPxQWQr1U14sP2s9lhyId074cd5EfE3ra3IMu+YNrnAO+p3DHlS3ctr2LV49XsedQmcD5Dn4d451fJaOTF5/HDWySmJVLGr+wawYfvmEJv/H4Onzh4MpkDlBZf4B91iCpN+f024omOYhaCML0/nykk4yC/RZPDdKXykJ8iOL2AFRXZnQNKF3wpDgVUK4CahRozriHN1ko23oV4HihLz9hi+5c6SwAOpJv7aQ0+CckDB0gf1tmjmfigwWJQQSFQ/M1/PpD69Hoepjv+oBSmGz6+ORDa7HYUVjo+oi0wmszdfzGozHcctcTFk59FM1k6rWIteRxwPNEiMlYuGiW6qxvaQp8SRc5+pXDdexa0LsS2H76pE20j30q4rN2MOK60VqIz+6awcRyCV87sQKTrRKjVaBjKGG6EHzbxQtdlCrgE29fjX/wvnF87psX8Z/OnUfYjtz6vyx9kTWB6tHHwq3cOrXOpTmT0lCFYHm8BFDSOfkRcUjJAU+uOGyviynp+O7DHv3EjIRuoxnhz75+CV8ZmMK5iQ60BjqdCH/wyAQefHYax8/Ed7QsNUP84dcuYqCmcP5SJ7lgmRC6nC+255J6qR4yjLVck+YBajcBFf98BU3seJJnQCVcwtiJ4cx6oEAv4hxHYAsv8EhFcGpXjHIWAkN5IToeHijh0x8aRxhpPLJ3FsfOtvLo+QUiyl56IaR3+SF3HHvDt7rA4Zka/HIlfZY8LtJglxa9RbCKHffLr2K/rn7817Uo7wcvry/il8NZo7GAP174ipnrWMLfD6+S7LyeH/eyF+dPwtGPXjkeqb6X3SXcl0tbsmGvvkXtvH8vfl2+anihEdfFcy9aCZwOWD+Xv9p4fE/jrp3L+Ifvn8ZffXMj9hyib9+0LgPCPT5MlUL68D8NgCZAa0OfseIpaGhMtEp4Y7GM+a6XBVH+shjAXuhQevQZNiDWSWsheaEA4Zuqni+6jGjUXfjQVQC8evw2VbNQoQsEntCYNr8Sv+G0NSPD8uSE7w5R/niiSAV37TbQ4+5SDF8Zjn816QeVT7BS2gXjhV4MALNFCpP8Mzu5nkIj9HBwrpa1KY2O9vDGbJXoBFjseDjUqSK1GdWLS1bX1WpRDmJ0vuAxvmh4d9GltCU7pLYqsA19Vpa38R2TXFjRxfLncKC4jSeo1k6IQw+8nuKVvoXKb4/VyPE+Vgvxa++exJuna3jm/AAmm35ex5I9crynghGlcbnJGDB15vtrAGaXAxyfbmOmESC7k4HHZ23HP0m/Ln3ldggd9k99xCGDInzk4AirYLpx0hLoWn4qxNKieSsnN7KdQuviA9Gx8Q2Kn9cV8W3UkONVZ7qm+JK6SCucm+hY+CINnJto4dxEJmYYapy5YF5SlxKz5U3pcr04fMa0UXyatVF50oTe4e8WHwSOmsr6PiaBs/yTxIJ03jC6THCYY6sf7cNEE+dQgofKkxszDlygxw4fkvRQpGNP7rNiyMM//PBaBF3g0NEGjp1tEvrUbgwfjznShUhWfoDvOFKmCxSQHL9x1sM///NVUABmliWHpLiU1deNX7E2XnrR4QMrZykHbM47CnDQiYCfu/r0krGX7nnhdDgPlD8X/iJ6vfTWi56Lx4KA3zf+Ivk4fRe8xIMkr4HtZU+Jj14yC5NAT/sX2YviuhxfcvCqI0GeXn3jEkUKB08O4BvPKBw4W2KwvtAXcOpNc/y0HtmkwVEA6IYKf7RvDF94cwTnGyWy6UImEqtj0pkGWTqhKQV05jICnHXre5MEV0qLycWvbleHBX4Iz5r1NYvjUjXeqews2LBmAWmFN9Zm9KXBnlEUfChN3AtidGcpxl9dQfTjgKcLOTHkEJ1pMJuTYn0vU+XxWAvAtNK2gXbA02Q99TNiU6NPj9FNkxogvcDAd83MwsTYUkqqpcL9RuLXHFthTICjvmRur+KfMXAtoDlP0oK6KNm2+oMMjwI+uS+bvtaYVsQeZPzC5mGp4+Grr6zAhdkyFrpsi0JMtlibJAcUCcvKrjcl9Y1sfH3xiUk8+vwsphYCdLuu3cYEt/QsIsVrGJBwcN1xWRXhP42FhD6NeVZo7sPGEl2zy8J1ZWwnFsqjC8TwgwxQUeZhy0ILf76NJs6pfxbo2LBO6SnYY4HpUimNkgcMDUW4a9wDIuDh44A2z86Z+JzDDTcPkqxSm8FHYUwM4MkwPXfyQYwjDgFqP4dtcrwnx54m9hFikeW/rFjsMSBpXEgyiPFPoinIIy7Jeuu40Yrw2AuzCEPg0nyXC5KNVSiZBymGOcoP8HIc1yji9TGDQaiw3A4BmLtg+CIwv6Bks4PQhxa+aOXwnDepjdPuR05DjxfF2jhvLnoSTtqH1/Fj6Zzip3QlfUl9JBwuXC4YiVeXY0rtLpu6+C2iJ+Ep0lkvWhRnkV+78Bf5nQTr8pVeA13yyV5+zn3DYT/dhax/ei7rJog0Hn21hif219ANKQ0XbwU8mcV3+vmipF5TeMKTQhrctVJohh6gFLraIwEU2cIPyl7cp6iS83QBqoDWPBAlH4pPg3VGL1MRWVTwF8DkgnjyWx4CPD/DZ/pLCbImNE0p1QEdAd3FRCZlq9Psupjn6BTIroxm8DrrZ17mYC1KE775lUyz8Owux7zURvJtPJHgwywqgDc7ihLdVPVEL9we5tj0pQtkg0cLeMD5gn2RwPSjOHmSk5NXZ/6R+hOBTYcE5U2Q27X7SHVAaaY6ROYL9KVORiaXHkx/KVE0faluXMkx5ZP247bm4yWFg6xPqc6ydUb7UqOE3/jOBkQaaZwo1KcrCTYJBSD35wmueX5RG4EUWm2NRT9EO4jyOC0+0n82fRC98mRbKiZhozs2plh+x/UmjTtBRxZPBCeVBUjsDJIMkzaaZLnsQWFd/TgvlJaGoC/NZFP2b5Fv0MLlTue0WGzP1xiqaoytCHHFugA/uSPEptsXMTiscPxIGY/932MINMVn6IKYS9sv3dG0kcYcE2PY+BYTl6QufewCyTlFncAYGsaG0ic/jI6Na3uaxUajVyZHOnYNf0Qeo8jcriSR19hG1BNlgMUMWkdtCYmnRNZ0LDl0nAL+f7S9d7Qex3Un+KvuL70cgPeAh5wJBoAkCELMEqlMUlmWFb1eeRx2x+vjMDvjObvy+ow9M/Ien509HnvHI1keWyNbskRZlCgG0RSDKJEUQYIEE3J8CA94OX6pu2v/+Lq6b92+1d8DvVvnvPd1V926uaru7VQGmUr1Yvil8hsdA5ieDfCH/3UUyTuOEcFp9GLMnsRJRMdG9///3XE0JaMx2JYGdq0L8D/fNw+/GOH3vjaI8XkDa8O5cUltbCJqyy8zftvki5aciUFMDK7kvB0f0mSu2DHXYR5Olzy8yLbM0m6Hh7ZbM4DAr8SrSwcum7lsJcG44Dj+drSkY8km/FySleOTdCvhaqd7Fy4XPO3H7cZspkkAYxXXmEtxKaWwbjDE+sEIF2YUjl0qEFwa+XZgfGmkkyGQLigUjH4ohwRQRQ/4jesmccumJfzFSyvxo9PdKaokqdM2flPo46xaA0EdCJZgBadJIEAWOnNueLWSHTD4GIf2WomjSU58MtH7dBHi9mM6KXcDURMI66296GgQlLmizPjWDJfLpZKFU5CXwoS11uOz5QFbH4rpDIwHCZf5pTaR3r+U8LnugljJJuxEx+IPqf6Y2jMJlKRjHsBwnngildDL4V2SI2mTeIgPqI4pDP2gT6jJR3p0Vg86piElKJrii3XFxwKFNzrM3UaEHZhE05KP2SGZnoiOqS3ito5ChFuHlzAfeHh9uoKF+F1Yq1C7U7wWn4K9RD+L281dE5IEfOZ9Q/jgvgE8+OwE/vtj42jwu46uBDAzZhSzN/HNZKrW2Tvk5g4MhU/wU9m4fRw6z/ApzY9xW/Jel4QjR58SLUteyluM3GP1GR1pmT5fo6jerbEQgxpwnfb1PI1KGeiphNg8EGLz1iZ2rWni+rVNdK0OMDlZxpvHyrjwVjeeGlUIQ0LSXNzUsO5Up/qj8phmwoSxXaJjU8fmAqNX4+/SvEdhTIOxIeXTtJu+ySPDCvaX0Y3+43FBCfJEERSG85fnG8r+OI+BN/OjYnX8jiRtMzLxDwwZHZuS+ZiShQzWljxcn0SGctnDTVd1Q2uNt84uYWI6sHWAWHeUZmbrLe7Xcnkb7zhanm4zJdR3VYA9G+ool0IUfQ32/EQOHWopCUYqfPBqRx3v46LD6yR8Ur2GG29efTs46nCcHsfj0pGEy9XugpP6SfrQ7Jzz5rKPYxLOPeY4OQ9cFiXASTzm2XO5tMD65NUt109d7RSHSw4gKwvt55JF8vHQAcPHMecFKHoa99y4iE/eNYdHfrICxx73SXsk4OR42S8NXkwxySLfAoMEA54CNvZEuGlEYbASkWBJM7XE/TXY44I63di3Ppt2MKJLV7xNncFF77jQu0wK6eRf6UMmmE7UJeiB8mt82yRNlYHWXoSeeT+VLSBiwE9oUB54kCZeVaf4UpLQGggbreSxEn+lNBOsKpsHKwC1yaQLd8wrT2goPiqzi196ZV4KfKlOknPYfVy6saYigs/4prQmSfaR+G5XR3fGMjwsp68JXHhyJ/KjZf1T3FCyHgy81DdjG+qTOf5L+0hb4vCtUGLehipN/NG9F3FqrIz//ZnVON7wZN3HIltBKvUZ057hkc1xlD6DG+krYvemTrzwZil+DVwYG7lxk2IwyuZZgjN6zSR1wnzv4kMxOEtWYf3kwWxGF2wMZUTN80vCD58HwOpbwFl8LvlFHYPomK9brUblKZTLEQZ7IoyUNW7ZWsPGa+vY0heit6KxUPXx4pkyjvykCydOdeH4fIiZBa/FZmaLFMoSnyjJudVG1iNF2pL1S2Vdil48tHTAYKw7hDEcH+ua9VfxOZXBGheEJ2s+MH2J79DkKWL4Mr7qsKmRgcciCX8MR8IDx0f1yXQCRsMaA+ZcwttqG+j18fu/vB5hoPHlvx3FT6dnUx0lcHTsEVSW37Yv/4x3HF3HNuFjYx7+4wOD8D2N2SU6OfBj5NSzQZwb1HI+JYdw0eYTmDChOfG5cJljCMe8tINz8ZPHl9THhUtqB7K65bgpHy7Hy7MH7e/igZ+78OThdE2iy7EPh5X8zUWrzaSU4UnSoQuHix7YuSSrVJZrB3PI7zjSeSBflxpAJSxisN4ZXzUlvOrAIYfEq7AQWBMtQWGCAPPokwaCCPj7I714/kKI/WMVaL7VBv0CanJFNoahX1WtTiG5LanJH10MNdKgNWL8sYXAMrdfbn3gRsPm38LD9EPp0MfNDO8dK4DFy7A/KmT0RxcY5o9W4kMXX9JOk+UMXPxL7yKFDaA60UoePfJ+K+eHL6R8rNBHRWl/qg+bsewp9xuehIDIwINTMdmG3e66K0MLp8/7cv1x+TL2ZOJKQzMvwKYl7zFhyiflyfIHxoiRheuOy6MFmokwikyRAi4uj2bnnE86h8CDnu9EWPdj83NZY4TWY7dK0LG27WAlqIxPM3dYWxMo/PDFKZwYq+KNU0tkH0duI4bH6Jhvx8EDfwqbqFXwYVAZhbakvwIfnnIyR+EFX+drI+WT43fNF7TNgo9xWOPbnMf0FOz99zjfQJq8WUmcpOOYf0/BU0DR11i5IsTWgQA3rlTYvWsew1sDFKvAwriPN9+o4LlLJRw7VcTEgo+lRmv/4+QbAMmHkxQ5Z7JxnqkPcFkUUrlN0uf6ImtmjElzWWxT6SIAIZX4saK88Kx8RhAAACAASURBVLkd7LFpxkdmneLyInsXll+kkXSild0v4ZmP8Rwc9Jjq2OBP1CfxBveYIedaA6UljUakEVHf1bSLqXfRwbLKP/Mdx2Sldfa6PO/h0TcKABSqTcmx2tGjhXqZRJcs6s4ERjE4qW8eT5YV2vSlsBpyX45D6sdp0V+pcD1Ickp858mfx0cy8gU4U6S+eXJIfLrg8/yA0uc8U77yYGmdJGeeL7j0JtmHw2ZWRUc/ik+ypQTL6XHfzPNlSkuiuZwx1HrH8bsvl/GTY0VMzjF+Nb2T6eKVoo0XOPOuJE2qrHcwSPART8ahBl683IFXJiIsBR505kokksXeusuXBE6q9c5g8r4nCRb4dEUT0QS9oaHZoqTTvqVepgLTn+jCtFuP6Dl0ZUrHYOtunxLaMndjCH2jg3ZX9GlJ3mthshl4HQK1SaDUDxRKMj+g/YUFz9iJ8m/apK0wtLZhLX6YDyT47SqxiAEyoy0lXZxPqQ+Fy1yVpvRJ/8xwdvBmJeMCTF6iIPFpTX1mXDC+uS8kuPi5g1/XhQ1+LCWklJYD11jVx798YgWqoYcL1aLVZvGvhXqLB+aXMONdMbpk/iBVUMDrx5dw5GwN9XrU2sORoJWLzurbKbPDJyQCrsQsqXPEAc4tL8CSZKG7hVKldZTvDP9mvueyxfU0KcrwRscaR8v813r3l41JUgoFja6SxlB3iKu2NrFvpca1GwL0rKuiqhQmz3t49ZGVeGI0wNHZIsYnfYRRrFpnIkd1FsO83WIt82QO4eGBKXQfUXM3j1+csT7iQo8ZXWtt42OFFNFHBb6kbTy4W1L+KX0oJqvgO+3WAFfhurT05yBnHTMdx8NtaibA7/7NaURa48zFuk1Twb33qWstyClX+KiqqwhKjcvmlRE+t6+Gkq/x5R91YrbqGJhOOhLdJLpaBhznyTGhWTzxQFii4cLTblRI/HCeJV4pnCR3xvtZ3XK8PE/XLpwuXpUAA9ZXMxguo2RnV5H4gXAu9YEAkzdy29mnHY8QfmlZjn+4xgnVLcclwXLeJBvk0ZHaaHH7ntZAvaEwv6RQa3J9axJQUl/KwUkTE9PfEFIxXro4xItJQWl8fPM89qwM8a0TnXjxchmaJomJyjVzi7ghqLXea9RA+oiPCdgcgptiTeSmUtkfpCn1AMpLdSElXUY2yiulISWQAOAVWu9NNuZTHRnkVgBueIdAm8tHeBBx6LSvJp2UAqIwfmy1v3WXlQa97RICQ8Tox/TNfIzFsVAm0w2DkWSgxbUA83rXb6IL3QYP0ZOkByvQM3Bxu/VIcSxoO3xw6Jgn1RpItkGRZJOmTyqvlHzwYl1sEGSmviX5FaWjiD4U7DYuK4BIK8w1FOqRQqSZjk2ASS8igciVe+FGQfQnPn6ITO/Z24fbr+7BT16fw4/2z8R3HfPWR8HfXXOTeLGE8SglYBrZ8elaDp13ryTc3C/4GmF4c4wziiNzAYSgMzayvhZNgIT5olgEVvSFWKwqzC95qQ4MLaJjzwf6uiOs7wKu21DFti0Brl9XR1dn6ym8k3MFnH6yCy8f6cSFmsb4nIdavUwZTI8z73kyWTK24fZjauSFjy+P1Es2pRfRuG0zj3AyPjJ0pWNpnhbmFuay1h1CCwXzKdcXqqnqzS/XsfFZ/qhwEge41gXGB3VVScdcNqstHQeRBuYWW6+ehIHOqp3ukdlOx23KFd5xtEYbstolC1Vc1q8I8dH3TKJUCfHnT29giSPFwz0gWWEga81NUz7n+FyeyuskmpLXuwZJO9wuj6A0OXweDclGnIa0kvP2djql/Eh+wGHM8XL4Xg6PHIfLJrS/c/QJdJbLD8cvjX4X/+38SJJFkocXaTy5+JXwS3y7+JJs3c4mrfaCB9y7exEfu2ke3zvQj288X7FhdQNQ5eXxbAIL+gXLBEwTFMoOjrSG72m8e/M87t2zhFfmh/DSeBkhfWfQIqvSBSfSgI7iTe0JTgPjupOS8IwUnl6lp4/KeiWg1JXKYPixAlWqIpXCUj4suqQdaOEP60DUSPHlJUFQ8MMm+psz6G/MoU8H2NtRRW95OoY1AVc3Xpjtwaz2MFuoYLyyEtVCB1dAC5YHXfWZVkJb7MoGeVxGnhBZgW98SG0hycUDaSnQpPrLtDNbS3cSJZoZ+JgYt2HrRKYr4U6qSQCRdGU+k+BRWRnAeM0ExwSPK+njfNGk1rnsCTp2Fo3s147JAU8oEv8g8olJR6sMdwT4z+8cx/HpIv7PVwdxdqGETKGyO/luMw5pfym5U8DtV/fhlz48jEWt8eMDs/FjiwLdRFZLGQkeN58qw6Y91gR4hexjhJmLJoSuc/yY+UrJjyQak/E7k3l3T1x2terofKGtn2SuJf2UAvZsa+AjO6t45GgFzx2uIOIfTlNAqRhh+0iEO9ZE2LJzERvWBVgz3MT8+QIOjhbx5uUijh8v4uxMEfN1oFrz7J0H+MWfdhewSNfWsYLz6YjEXg5cSb0DwAppaDtfj0gdDx14nYhDmgesSco5btvO2a5x2k7PlkpUNpk39cm8q2Q1LkfHhoe2Ogb6ewr4g8+uQzME/ssPx/DK0UUBTgk4rmSubZW38XEcU1zGtOEuTHv47tOD8D1gsaFIe2Y1I/15kXArB6wLh6twfjhuLjOF5yOB05VGh4tva8Qvg0cKx3ml8ByPxIMEz/mR9OAqLvq0jetYs3bOs0RX8iNOm/+6+ON13BZ5+uHytSuSn7jw5empHSyFW44vcD40svgk3+c483SW/voeMDRSx+YbFrBxtC+LLmoAXiVbL8pj+pCFxPCgYT+umsC2fkIo/ORMJ6aXPByfKMWPBQHJ3UP6LqKZZA2d2hSgQyQBfwKD7GTM36NK7mrG5wae8lrqhRWUGjL0LqopitHmj+RJyYgxd7mv9Y6hSTSIL3o6QA8CdBamsGXpDO7rOYL+LW9B903CK9XheU0UK3V4ftNmU/vY0SgiahahwyKiWif06HYcOn8jnlFDuFhah/lmNxpeEaLvN+Zb25pU+rNtUuELOpW17ZVrKfCgdcavkO2z3KAkFz/Fx2BpkpYXACcXHCiMkqeVdrzFaLLLM8EtXZzhbZKOM1MU02NbW7SRg8JKj6VKCVtOslHxI1x93QIKZ0rofL0faaIkBGH5zOVUEWVbSSgB0sD+U/MoPaJw8NBC+qjqcorkW9w2IG0mcTF10sUnOjYkHdME0qUiK8GNS3KXS6VqEZNWoTiTgZjPdjo2a5ZjvvB9hZt21vFvPjKDkauaOPVtHy8eK6MRKRQ8jZ4SMDzUxAe2hth7zRIGNjTR0QUszANn93fiqw9349xkAZcnfSzUFaJQWdcJc2XhS7MkF2237hZSW7M2a5sTitc6sPXvuqNGeUxsH1fy8EXBYVM28ZhTyjNivuk8zwVQ7JyjzgvhMjAOHQskMm3mAhyn11bHhK41p8EeIzFsuaSwe3cvgqbG4NMTZO9TQUbOTC5stryNdxxdbVwrrfOjYz7+9OHWVeZqk+IRR4BQDF5qCdeELXmjK2DmuPJwcHiJF1e7BMPhRG9i/NA+kg6XU2fqOS3KhzSLufjn586R4YDL41XST56+XHZr57ft6gwf1A9desuzncseeXSXw7NE12UDF48Urp39aL0GlI/lyZ89b4YaT77chwvnu3Hsko+MXqM63DpmsNZdKLCFjE3Mlsiq9XGc4/3wTwL1UCEydyQyyQAlqVpfUA0bwqJl4LT9SxcKwwfdkoD2U6p1x80vprzQx+uc0xALEHmgr5m9k3dz/NYjsY05GH8fbC7gqq7L6O98Ax/pOI+Oq59E1DMPXWgApSbSr/K1SshUpNBaYHTMqIKC3vYWbmo+jL3NEsLz6/D0sbtwRm3GiakdGPNWIvJ8m++w1kpoS/2tx2oT3Qm+lpds0AA1Gc6kjeJxBSPSnSvuX847gFqAU2kQp5Vdzwu3oZQ88sdwM3CQP0KT6ETbuNrhM+qiBGhQSn0QjN+kHUwvBo+g64zuNMOnkWxfYc7pu2c8AJOKIOt4tYA/eGA1pus+xmoFgk/QCR+XNNi02nQy/2TWCZG/VscfPDOFR5+bRqOp0QzIS1EJH5rVxTRoksdYs+AyutDMxyU/JHQVkcFKVoVxZelOmKMS3xTGTsY37HGnoOEXInT7DXSpEIPlRgYGUJhrdGBWA0tBCc3QS2aqRB5Cu1TS2Lujjt/52Bw27a3D84A960PsHwrR3R1iy9YG7t3awMiOGmqNAs4teHjxlU68erAH+ydDzCz4qNWMeMxGiXqYn9Jf2ifRhWXIVJVUJXyMcZ1aj1kSP0r6E/zaQpK2595FjmG5negeiZmxYPyJ8sL8jO5BaK2FwhxF9zM0/qySRjZvK1nHSpM9Honc1pJKxrumMmQYglPH5CeB4/ZLUKVjbHY+xJ98bRQRNA6fq6YyJ/q3FJASUbFMdO5tU97GV1VpYUa2Sut8sDvCrnUhPAX87HgB1QbvB6Gv5fECPKfv4gvs10XPxUMeX5LseTy6deQu7WhwGTnf7fTLaVC++GiU8PO6PLquOpf9OC9KgOVwrjpKy/Xr4pXz6LJHnqx5/i7h5yXPr5brQxJdzqOLtzydLceeMq5IK7x5zseRCz4C6+q5gQsAHQCq6MBNJ2Cd/aphojbWl03kntK4dqCG1R0BXp+qYHSpJHwgR9lmCKqtPy538pgmFUelvzyI5olcstgUgFJ3C7eUXBrYTCJJ+Kbn1obsAm0NoNABvzGP/voEbut/Dds2vIAbh04iXHUSUamBwIsAraBCH2gU4VU7oWb74M33oLqwGbNh1varKovQK05C98wh6lyEVwihS01ElQbUzsO4Z/sxeHPdODZ6Nc5O7sOx07fjVX8Fan45XeDDZuujOcWu1h6UGnZy0u6OlbU/H1vYTeCpkL1bLR2bxVe8a0V0afAb/8vjL/FRyPaRgmYFsmNNXJds30JoJrIi1SctNIHlvmPkoXQTv2b4TZtJ3ji/Rg6qY0368eAIgp4oLbOPJL04Q/EbetQmTv3nn881PHz7VB8iDTRDog9Dw9Inl5np2PIzpDi4vjN8tH53bOzAxpVlnLhYw9HRGqJI23bVRHbDjzXFk3pzYPk57PZEhwJPdD7LyCP4HxNP5BFMNxQugbXxK6Xh+xqFQoRBfwk3rhpH/9ZJdK1aQH95Cf0qxOqOKqDiAUN8eaLWg/EImKt1YP5iH5bO9eHE+CBO1bpRaxYRhgpaaxQLGrddV8evfXgOW3bX4fmA1ho33LqAf7UiwJrBJvySxpvHyvjxM9049VYnDl/2cWlGIYwUIl0guhLs0U7H/EKRVPiWEfRDOZm7gsq2SbKkc3rUELD553MDlyNxXcoT553pIxkL5peuvdRXlTD3UjycfYE/tOErMy8p+4u55oe/45jQVaL6snOb5gCMT2E8MXAoYLEW4gfPTwEAms1IBrR8jslIddymvM3EUZoFINZduzbE//HFiyhUQvzClzbGiaMSYYn3MjouHri3tINxKUTCJc12LkNrBiM4Qibgpng4jnZ0DTyHy+NLKpxvUyfxoh39pCLZRbI1x0v783qXroQBn+lndO6yMz0WZx0BntJqN2tRvFyPHD/H7dL1cn2I4pD81IXf1YfRUmTrBGeEQHGmuH2lsW9rgD0bA7w+WsAzRwrZvlE9vuuWxx/sBS/zAQuCMglYkUyQRaXxq9dP4Z49C/iDh1fjO4eLCK1xGuM2i3DUbN2ZS/aIjPnxFAncCFFuCh/2lgaa2MFcwa/0t+o0628md/4FwARO8K9MQE2RtfD5OsRQYwJ3lp7HTXu+icGR4yj0zCHwolbeWasgWuyBN7YaJ4/eiudrwxjt2Ix62AOEBYTNbiRrFWGh4gVAeQGq2EBfOI7r6hdx56rTKGx5CXpwEuhaQtg/g60Dz2Nr7SD27XgYH3vzVnz93D04WdyAql9Ga8M6DTQWgKDe2s9Sxb7i3MsutW8SzPMiJZSuII0mTlbyRuD5ViCK+Q9PaKyvYhoYqsP4wJoKjC8SGxq7860rTECQ2WvT4Ip50BrwVUqTy2ru1kkfF2q3VNMPjtDphiYklvyCHbSgYyMrD7A9QU56gYBvgUPnh8QNbH8aKIf41Z1TGK8V8NCZXozXC4QXplvDC5/q6fOI5mKUaBPii0LS/It3DeFT9w/hrx8aw//9dxdQb2i7D8XLH0Hk03PiY6QuVUyWvsRTpj/xWVeSmRmrrnoQ+9iOphRQKITo7qpjZWUR9666gOHbTqN/7RQGOmsoddfglcJ4r8u0K18h+6GxXSlorRDWCoiqRSzUShi/MIjTP9uMZ8+txaVGF3as8/A7n57B+h1NKN/woFBZEWKwN8DXf9iHl88WMHa5gJmaQrOpbEKJr7viA6bjjO5g69T4iiZ9rDXH+DxZV6wLqsK8Ag4L2y6ZBEm36qAE3khfLiJPYrlhEh9S9jYo5s4Z/TVtSZ6kk+6JXgi7id4sPuMDvrWJBtuix/yjwqhWHzo3G71TPTjjFaZj6+KCGRdEdtqX2gpAT5ePX3rvKkTQeGz/NE6er9t0qZ3NnVNqHDr/tylXmDhShFQZ1qxrMVttKCyMFVEqqHivNgmfYr+OASXykQfP+aLwLtw5E2NGXg7D8WZmaQEPL+0mFnH2d9DO2kPm2YVX4k+SxUWP885pUxycnsSvRr7tXTy44KVzCSet432lfi4cUl9JdtouTDoZnGD10niScLjGCy+8jvRVrimE+wXXk0bBB27bPYcv3juJbz60jiSOhE64BPjdyNqLHpPJjgaP/N1Eyj7FohSmFgqYPVdCrea1tqZUpI9FUrc+3GIWKJp80MmfJnaWyVUayFv8xf80gHJPS68K9scNMu5G+POF8UYXPsV+0eKlEAUYCS9jd+EgPrP3O6js+TmWlupoNjRUrYLGxDCmJtejfvp6fPPyzTjbuR51VUKkPGAJ6cLsGV41CQpiOs1+oAkAm3FQA98ci9BzbhZ7lo7jvdt/is51J9EzfAaqZw6da0+gc+QEfvfSk7iw/8P49vRNOK42tz6qozWgm0B1Eih2th6t5QECk89KGniR+kqFvzuY2DyHBtd5JiBmNDJ2JXAZWGZjxep4YpLRiZELJNkkslrTMIFv40vi1WrOu+tdOJ7sWl+4ZHRMPzp4lqNjKkPmLiP7JbhWVAL87v0TOHy6jOcvdaaJI9e7pGPDp0eRa3nKV/E/E1CawJjwOjnfwKVzdcxPh2RK47Y3shIeaKJvLoJl7Ez4lxI4MZHMViXriJRQ898rvLvm+xqdhSY2Ds/ghtVjuPWaMxi44RzKfVUoTwNKA6GPMPDQXCoBgYdwqYiwWkStWkGt2brQWSmEqHTV4JUDFLrrUIUInq9R6KlioH8J/SMz2HHjKdxdLWHmtTVYvXUVVm3vgfY7oVT8cSQNKChcPlvAgy+XMTNPL6LqbKLFdemab0TdIJ1vEr0T/wCEd99iJ3POEeY4c4D0AijhIfNFV5XO+UkSQ9Ak/JKBSGXgclAg6p+KwSbj3Uadtsd8c+dUgOWXCZ9UPiKD9a4t0SXta4C5fSyZpJgMso4Va1cC33zejut7uwv4tU+NoNnUOHq2GieOytaL4cEj/sllyvPLuFxh4ijOdEBmFkyVdOiCj3/198NQCphaMlqgnPLZXQv1zlk259zFo2RECpNXuIwZrxXaOF9cLgNDeZH6SvwDsgyKwUr9aJFou2DyjtvZjMMIgynTn6/oUvty7MjhuY5d9pJ0Q/UqnefhyYOVfEXCw8eP5ONSf0nmdpOES1dmomOLpeizlHaKJ4w0jp/swNNPrsBrZyge2j9q3XX0SsjqTeDVA9uWA0iSSX7nJW5rRsBX3hzEt4714dxSERpmoYhx0kWoNt36YIspEZNZCh7NQSYQI3zqGJcff0WVLvoGB12cFMFn6jWlBba3GGEl5qGruYA79Qncs+Mb2Ln7OQRDEwCAzqgX1aPr8NKZ3Th8eS9eau7AVKkfulv4lr4UKNDAgtldKyCEDz/U6OrowXfPfALBWQ/XDbyOzStexrYtryFYdRkYOY91H/wrfPHEz3Hw0F14dPqdGC+tQBS/NYnmYutR4WJ3K4nk+pcKv8OxrKKRucuW6FIIAC3ZgUywRv2KB9dJgEZ8lfObCeC1LIplB8aHwSG9p5e3dUvCo9Ce2F7bvyLPAp9SgJmhy9qSKkGHSWIp0Jb4ko7j8/lGAY8+twKn53zMNH03nkwSqQR+GL9SSfBk/fQ7P5nEkwfnMD7VbG3FkbnLw4oVzCLVnbQvoRXssn5OnnSWBpAGxZL+rULg+HvLFimN3o4mrh26jOt3nsGeq8+if8dl+N3N1va9DR/N2TIaMx1YPN+LY5dWYHKpCwuznWjOlREsFTGz2IPZhg+tFAaKIfq75uBXmigN1NDTv4gVlSVsGKyid2QClZWLKPRVUeiqY+jWU4jUWUwt9aPsr0RHcTXK/gA8vwgFhdW7G1jVG2F2wW+pkes4EVHwE7Ew33HGfga/GbtcaSr9oV9RpTzRQp8YkbZNkZ40oPQz9ZJv0LmMVFl3hokfSnxYCZRAV66QGHSACnq25M4Zy6KpCAx9gtS1NY3EgnRBCEhjE62xWI3w2NOTCLTGxemGjcuwQe8eC+wtt7yNR1XznDjrlaEGak0WR7VNUNot7HxAUXwunuixi3dpoPLC2wRHFBOoPL5cfEjnvM3USbpoh5/bkupH6sdpcRy08Doug6QjV/92E6hUnwfH+ZF44oX7jos3qY8EI+lT0qFEn9dJ7S4eJfwu/fPioK2KgG6Q+uVM2kAQKfzTWx342fEKqk3qu0yGcClOHCU7s0VW/PiHInsysuDUU9AAGpFCLWi9j2I9xkPlrM+3vvSakFdkoVWEdc3MSRYdyyxsAYUCSn2kTqe0aGDtDEBiYA/sUVhbbqUjDFcv49M9T+LmfQ+je/tBhKUGVLOI4vFr8NYb9+CxsatwoDaC2WIfdFn6prukZ0Mnb31Q8KMA7131Y7x35xM4dGEn/ubYL+GNhfdgZHYPbjj/Bu5e/VMM7n4J4Ypp9O48gLuGTmP9odN4/tgn8UxxLZpevEWL2QqluRgnkB3kS7WOkgQyJKix7kYT3sVH7ZCty0s+Mo/aEZtkEi3EdDluTocKk9VvcrycxA3UdlQHLnDtTi4zdTq76bQpiaxkrBuZM3cDmSyZYI3UZZZKAY80fpTAY3w8Uffx+z9fgSACZhomcZTWf7ufFWQaHcPdLe3vbmo2NWqNCEEYQUvJltmE3cxNlp/HdLXkl5JOAacPJ4wSuZK5T5Ffgi/Xhoa3bGWxEGBT5zw+cONRXP2O41i5aQKFziaggWChhIXRfkwcHsaBC2twcrIfsxM9uFTrwIIuoNEsyNdBNICZASAClKdRLgXoVgFWFEL0rZzDphXjuGP9GHq2jaNr8xQK3Q3Ugkk0wlksNS6hQ62Ft7gW4dwAECjcOBDi+FgBYfKIqkPH7eYLkVHSX/oCqlUcepX2Y7TsBaR3vhxjzOEqTnYB5gOsM8XHl30g9WWXjqyPcHFelShGgtfcKTVblliF9l1GbJSs0QKtjD7ouiDpWJjH2uEEAKUwtxDiTx+4AK3T/RwzuLSy+ZV0vIxyhdtxuDh3BwpXj4T4t/dWUS5o/I//rRvj87QPx9+uTjnqubDL4Y3TkY5pX83qpPbMzCfQkfhxBQASnEue5XiaSw/SjCDZu51TSTy5Zm36m6fHPBx5OmBBVGbGzPMliR+JhsSTJI9EE4725QzcvHHi8iXaVxovfNZ2BUaCTpPEka8ALjytvkoBI30RNg5GGJ32cLTmE1gawNUBHaJ1d1PyD4KXToBmYaRs0K0uYtCSp/HFnTO4dW2APz/Ygx+d7YKmj4Jo3drnMFiEdffSI3T4FfakHnYAQbcH0Dp9z81TQLkX8P008EjeKSN06BYhfgyTLASU5/jAU+mHRAAUdIjdtVP45IYHcNWtP4QaGofWHhoX1qHx3IfwZxfuwrHyTswWFHRpjuhWMZWzgCAzROIKK9Bp1Xk6wmDvBNTQKDrnB1COAgSqiNHSalwIV2L/6G7sPfk6PnzTD+DveBNYMY1NNz+CDf2n0P/qfXgkuBtLhU6kAXHYeny4Mde6+1jsQvJyk3jXJOZFSfVMNqtaqKeyS+1iYir0oX2N3V34KJ+WLwvzlHinVMCXmTZ0lr6Rw+id86OR5U96VI/LI+nHVaREx74qLfNO+/KE30mjdVz2I9ywoob5poeDkxUsBMqmn0fTmppz5nYa7BphBB3/wt0r8ak9I/jmz8bw149fRIPj5HscSkF3xleypxlZJF/IwBBE3E6uu1I8gCZwngcMdy7ivTtO4NY7DmHomjH4HQEQAY3pDoy/tRpvvLQNL0ytxplLfVhqlNCMAO3KrLiONeILhwq1RhE1FDFRB9RiF14ZXYXH39yJkb4Z3LPqInbsPY2V14yhY3AJujCD+WABtalxzB3YhmdO78Abs6r1ioNFOkc/kk7FQuGFsZwJBQiMlGTm+oGSx7DEK316w3rs2ZoQU11nLiwKYtJxwi9mAekaq5lcLt8V1UvWXzM/ZR6PJjzyR7rB4CVxMo8YU3hh/nLpOMEF9tgz0zEARECpBFy3pRNRpPHmySWMN4IMuuQdTmOHzDXh5fjkFW/H4Qqy3X26ykD/ujkUyiGKXncOPMXPaUjHgKj8ZfG+nGCaw+XBS3CSbiQYzp9m8FwnvJ3TkpKIPJ236+OiK8G5/MGluzyZJF1IOHgbr6N6XQ6cq92lnzwdc79wnefZ3oU7r7j6uvzRxbM5z4MF4BXjRx/ayWHjKnoaH7mpil95ZxV//VQ3/vRHFTj1Ei4AhX4BL+GXX8mzvkaq03aaaGkNFWmM9DWwecsCeo93tHIO8wiq6VufITTiX/6hDr7omsWPm4C+R5aIWWolPRnT6fTceu9Lk4+rkE40STW04lIKG7hHvYrfuv4BrL32AgAAIABJREFU1G9+DLqjCrXYg5nX78T3Xr0fT+t9mOuM73j6urWPoo5sGvyOXMIXC3ZN4W1ao+kV8fChD6Nw6locC9ZhvDKQwIVeAWPeMB5Vd+H0gR245/zTuG73I/DXnYF3zev40IrL6H5uFo/OfRCXS/2xuclYbCy0/goVoNDR+qUube5I8wVTMz0TfsU7i8Y3PEIbpD2TrAl4KG06n2T23lSpvjmOzF0cqmtk7cT3EkXWPmIglBljyMphwbNzniAmY8vwEMvOE528BM9qI/KI9oJdT/tpyH3i41WdAf7s/VM4fMnD7/1kCMdmzWPzYDIY2zGbGNnMD/Uf0r0lP8OnTGOrz1BvEUNbPfQc9ogI3B5kjqN2SxjI0bFlhxy8fGxINEw7vcNjeDLHmeS41bdcamLPyGV84sYTWHvbmygPLQJQaEx2YP74EKbeGML+mSGMzvVjdLwXs/Vyiw2qa25Lug4ASD+yAiJv6wmUZuhhJixjpj6MIxPDGBndir3PTuLmfUew+fozqAzNo7zmMvo753GTP41j07tR8kZQC1lIrZlNqY7BedJ2e8Y2dHGg6iI6pnqnSZEGkm0kKG+ELepnCQ9apR9/ofzSeYPqGESnUEi+7JqxvcUIGb5k/Jpzyh7/uJBlOwJo5NWx3sxjvHRrCs5Dwju1hYE3PNH5Bfaxte0F0UvytVvCq3UBg7Qb/vn2GMqhY2MfBfT3FfHHX9iAZqTxpb85g/GZedKHyMPHb2ZuYD4mlH/mO46mUII2zLFLHv7zd4bgKWCmKkxeTnycHq3TpE4yfh6ePHz0nDnosvjkcByvq17Sh6vOVfJ06tLDcvC59O6Ck/BzHJLOKS6pL8cj0XHpWMLF6eX1o7zz0s5ulLe8Qcn14vJPStNFS9Kxy8ddvLjquLwKUBUAMw7abl40gIkacHg+wkLTbsvwG9Vg33Xk7JkJX6g3C0kyUWrSB2jCwz8c6sPPRrvw8ngHIvquh9at9xp1ZC9oAAlGCO90AZQCaC6mQuvSeqU/i5uInywgRp0mcaWBB7uTSvFVgireW3wBX7j+66jv2g9drsOfGMKzz30cz4/+IvYXhtEolGEt2F4p3kuT6A6EF56ouIqQDJzpWoP/Eg0hKvkIvYLVBgChV8Cb5bU4O/5hvOun6/CJG76H6KoDCFZfxB3v+jbKz2n8cOIDOF9aIehLte4Qh3WghjiJrAB+JU2aImT78Xf+XElju+SG206TOskveKDkpC/Qoos/TfC4vUD4oHhpYJmwxfya4+Ey8gDE4DP+KenGSkbZ3OJKjCWaLn5oYCvZK6mPZRWD4FYJIuBcvYnJRglhBBuHlUCSeQZw05LoUB+RZIo7PvziFI6dqeHQ6BKCUGf1YGDpHMCD3kzh/hc7bYYnMt6p30iyWjZk8NwnLF0odBabuHPHKXz0Xa9g5bVjKHQ0EUUKY6+uxesvbcGGzipG3jGKj/YdR3O2goOH1+OBp6/H+cU+aB5POXVMfhNWCN+kLgo1zs/04PJiB964PIQ9J9bifXsOof/68ygNVLHhnmP4H9bN4vkf7cUPjmzBfMMXbWcH8fSX8yT5P+xzrrvkoiJZ7yi8Sv4Rtvg5gbHg6RihfizIqBi8tYcjo+uSSby4RugoxzHvQD8+Q/d3lcZLQoPBJOOazpOC71NYCzXTlXRM545c2aR+aaco0hhbDBBEQMN8iDQZc8vRMfdDd7nCR1UVOzeFErQHxaU5D4+90fqcfr2pBDyOiUlMMujxckpeXxcP9JwPbIk3LKMNQh3nzcWLq7+rzlWf19elFyCrC1fhujB6c/WT8PLJNI+mpLO8vu100o4ep5NnD8muEk3OVzt5XbCSHHny5vEHBiP1pWPCnBYB3WQ8uXhslSACHnu5E/uPVjC9kPmSQJafcB4o9Am8kMU+IUkWgOROAEgAlZILNfDC5S74ExGaoWrt4WjwNxeAsGEvOiZA0oyuRpaOczGKYTSAjgFYgXdiPgKfJIVEj/QOpMFPccewBR3g3ZXn8Nmb/xLFHW9CF0J4ZzfioWe/gO/N3I/pYj8i389+PKjYAVRr6WOTUkIDnb7Hltxh0KlOaL0VtCk0/XILlj6+a2AiDe15mCv14dHgdoy9OIJ3T38L2/c+DQxO4Kbb/wGDLwT4xqX7MVpeaeuA8xlUAa8AJNuBCn7Pg+skGGsTJEgJjYUPaUBngkZOnyZYXBf0C7zUDgk9csCDVW4Pg7NdomrkEJNigpvio3wbOMt/kaWb9GH64/1cSWNyJd7gj/FKH8KyknWHvcz2Gubx7thel6oF/M4ja1ALPFysFlN4wH6c3CRbfA7g9DPJi7ZYEhPcWNZXjyzijeOLCEKwJJaPfbA6hfRuDcULZL5ASX3FuhgGmU86B1uJMpufqZx8U/j4t6MY4D3XHcWHPvgyVmyZgCpEqM9VcPCHe/HQoc3YPDKB2+45iO7Vc1C+RhQBt22egmoqfO2n+zC3WLGZpHyIvLeOfQ9QiBDCi03J/FtrNBsFnGwWcO7AThw6PYz3nH4L++4+jI6hBYxcewH3Dv4EI49O4S/270G1TvyEjn/Rl5HVMR9/SRc6p8Q2tfAK49gqlBjREb8QaOkPaXsypyn2mCept/gncjp5IOOAzxOJTti8BMYP1XOGb6TwCY4YsXnHL/NIKpWH2ozNPSDHdI1I3jVmvFh3cJHioPJbhY0TgHwN1dbF9FyIL331DDSAc5frDJ/hgctA+Hf6TLZc4aOqhjKZLFJuSH0Kv204xEfeUYXnafzlj7oxs2RZpw0tqU5w7mUH+/SY1uU5NYRziSY/5ziVAMtnjHaF8uuin0fH1VfCz/vRdolvSQ4JHxi8RJ8fc3lctCU8vN2lb+7LUpF0vBx98nPJ3yTZ8nQqnUu2k3iS6EoweXXMn7yO1kbtIl/y+NJQWGwAel6x/V35cYwrqgFRZ+vRWJftNTkwx0kgaZritjgxKHoan9o2i6uH6/j+sR7sv9TZ6hrUWx9egSLixpNt8o4hyIdoGH4fbtcwvBa7AFW0+wEpDcN/kqASvdKEgy7sJHD1dIQ7y/vxazf/GcKrjkArhfDodXjg2X+BB4O7sFTqTGlZAQRafCkiO0ueV+opbCgeRy0YwJFoM0KvaNOn+gI9JrSkL3samePS9EvYr7Zj9NCv4lO1fuy+5WH4g5PY9u6v4/NPhPjK5Y9hsjRg96eLYrm3pWcttFlJETvWRgjBjlrgmeKQFmUx8Yb96CjfroIn1FIi1y7x41+FlWTlskkBKA0EEx0xGST6PJB3ycoLHQu0ZGzH/EiTPkkCSW3BcJlCt/Eh8oQRcLlWQBCq1l6lho4lg6AHnsiLMub4kCDrvbcPYN+uHjz7yhx+/MI0moGjPw1sAfvdR6ofA5Phg9ZpVifxRsa1JTOtY35LaCil0VVo4AM3vomPfWI/OoYXoCNg8ugq/OCRvXjq8BYUIuAj+15H15pZIwQ8D/C6G9j+jpMY+tkuzKEiKNnhm3Hp66zj87vexOaNl/CdZ6/Hy5dXI4jI13OJL2so1JsFvHlpGCef6sfoWxvxzk89hzVXXUbH2hns+8UXUV6xhL96Zh8uz3YR93foODl1jB3p11Jl3vxAjoV3zcWxzH3Jivlg44aSbQtA3M/Yosl8g8Jlkmvy63F6yjrM8GGSOHFbFKTjguqC61CavyQdW3S1TcesAYneKDDRJQ/JLFqcjkov2iogDIGJ2Sa0Rmt/V0OHJoL0HUe6ntOnrCR5WMn9PlO2UKnosZvQ+hURPv/+cfzy/RfRU9ZOuLQY7rkGDU2JHserhWPVBpavKMvhD8KxVDRknihtCYcmbYod834cr8QLxyfpmeuL0wCp577g4k9qA2S6nE9JBg7H+ZH6SvQpPoUsDo6Xwks2lWi44Difkm+77CLh0LgyHJy+xKs0vrn/xG1emfHC6WV9oOhp3Ld3CX/yKxP4+N46ZN0y/sIFoV7BDuTIpJnsM2XgACsJUwoFD3j/tnn8xt2TuGZVHZ7p05yLycT8mCggSbIMWmGRc33dU2vCa7GV1EjJgll4PGIjevXUSrqI3CRw9aBxj3cQv3nrlxFdfaiF+tB1eOCp38d3wndjqdBlLx5EnS3dea2/zJDRKEV1vL/rx/it9/wRfnvXf8La6liKRxN+peTAoqntOqMfpjrt+bhYWYNvnP48Dj53H/z5HqBcw9Z3fwMfGHoIvY3ZlK4J2jVaez0WOu3FU5IZ2oaRitYyHlP4l3sTX2P0kmHFAhKRHuzF3wpoWF+P4XMlyEQGM0Ra1yZUGntZqtFZ/rhMyYULR7vhWQxOGd48O1h3GLhOYNseSIKqlqBtdGzOWaC2uqOJv7jvPL502yWs7QpsGencQoNrzXwht2jrJ5WF0Inb79jZi1/90AhuubYHvu9ldZks6e10zOhJCYM0x2XsamCyY9ZZGF0FjRXlGj52y0F8/DPPo7JqHmHgYfyl9fjvf/9O/OjN7VioldHhB9jQO5f4ajIbag2/FKGkAKXaMGHu0qbcY9CrY/Ptx7DhXcdxy+5T6Opo2H0EX9YaWKqV8I9nN+HP/9v78NoLOxAsluD3NHD9u9/EL931EkYGFvLnC6fdlW1DfsGGF5cdNWmU3IGPc4k/7t4JLZd/xX2cmQWV2cahFOD7CqWij46yj57OAob7K1g73Il1qzsxMtSBwd4SOisFVEo+Cr7XWqtzyABI32fXgPUuIQ9rImQLTf54XVJPdCzO7Y6+Eq+82ZWUCqHeYJ+PL/8vm/Af/uUm7Nra6YhPhJjO2CuJl7Ikefn/6KuqjBHSfm7Kwz8+OQi/oLFQ5/ioJ3Ircm1K9LkScibLTB8X37x+OXy0g2tHw8UPx0dp5QxcZ1Lo4o/q5kpnf6pTEtiK/pCnPxd/Wqgz5y5+XHxQOKlIOuY4FGuT+GnHixQhcHld/Oe1SXbPO5b4bVccPCkf9rYclB8Zr1LAhpV13Lp9FsdP9Djk4HS5H5FjdifRareCdjv4DLTCU6e6MVUt4Oh4BZFWQH0KiMJWBx4IKsEHaDJqklbz6WvwvnFV50BaTwu/S8PVYsHFyNj7nSqKsLF+GR9+x9fgbTsChB5Kx7bjWy/8Cv5RXY+mV7Rx80cNjUxeCQhqmcVPQcP36lBhASiHKIV1u1/CI+T6PJpmEed3TQBMllfg26O/iCJC7HrHPyHqmccdt30X88/24vGZD6BW7Eh1U+qN98Qk+pLuxhg+213xV4rc5QW5m0VsbmTI+Ats35DapOSML/7WHR5WMtOKLYOngJIPlAtAuaBR9jW6yxodxZYZmiGw2FRYqAPNUKEeAvVAI4gUtCvhE5PSnHVKkldKAIHUD8y4kh7NlnCZOUBqcyXAks7ipo6ixh0bqnjLi9DhM14TGzHcrsTZ4iOHN8kfFfDzo/MoPK5w4MgCwkhnfcq5XHD+YiL0ET0+d9Gpls9dFIc5Sc75ekllyvI4UmngF257Czd/6CV0DFQRVIuY2r8Bf/f4Pjw3NoIwaGUH82ERh+YGsDL04PkREdnDwng3ZuG3vuVl4depLvnd91j86aiMs8/tRuHiKRw4shZLtXhuzNu2IX68V2uFY5Mr8bXv347Pzpax7+43Ueip48Y7DiOaK+OrL92AufkOWxXJRRaVBuxSWJIsMSm/V1ToXJcXShhahscEVuX0YQjFu6FGTtqmMktnseihu1LAyv4yNq7uxtZ1vVgz1IGVfWV0dxRRKfnwPCAINBZrAWYXGrg0VcOpiws4eW4eY5NVzCw2UK2FiOiaSPlL5MpRwpXsq5jgZTqGAw5w6LgNT655l/sSgFJJ4YYtXQiaQG+H7+DDxAqOeXqZPvY2vqpKGHAmTSns8Us+/vSHvVDQWKy7PJjWOy2EbDDJeXHMTEn/5fAuTXwcP+eB10s4pcI9zSUbLS46rmOpja4yEk3XKMjjk/bj/V00IMDlzXBcdmkA5NFy0c6jI9Fw9ZX8oJ2OXbzl8UThXP7q8vG8mUGyHdDelnE/r6P1PqDVl/OZ1gch8E8HejF6sRNHLxYZPqH43YBvEgHHfECnHx4EaqRXnM2VNdXaT/Jbx/vxwAmNWqCgmwtA1LT70Ts9HtLEBnGb2RaDf3wlo6qYn0o/oOK7edamwMo2Hf8AjgkkjJroY6Gmk1IYDCbxiau+gjW7n22hOb0F//Dzf4EHwneh6ZeyfHlKNq9XsHUa81/3y3h06n04/f1tmPG7cLpzg+zO0sJH7w67Eg8jD300LpZ5rLwa3x79NAp+hKtueQylwQl8aM+3Mf/CGjxd3wvt+a07uaUutq9nzB+nx4MyMegnekpwMR/nSSZtM+3U3pk7ZUh1TPHRuyRcxzr+J+hYeQq+AvrKEUb6gA39EXas1Ng+FGFDHzDYqdFR1Cj5gIJGqBXqocJ8TeHyosLJSeDQuMLJSQ8X5xTG5oF6pBAGmj1CKxjedZdTsTaanPN+PLiiYzqh7dAjPefHCtnxqpHVYVwuLxXwrx9ahem6j0vVApnSdCq/y8ddF1ESRph8STURXqkkifnhc9N4fP8MGg2NZhDJvswLr6df4HTpisJJCb1p536cBKACLwJrnaUG3nfTa7j9ky+g0FlHfb6Es8/swneevgGvTPUhjLwE32KziJdf3I6rV49jxfUXoPwIOlSoXurFKw/djolap7CcMh0n74UCRseztTL+6qWd8F/ehmroI9DxY6oe6ZexeYpXa4Xz4/342uO3ossLcN3dh1EZXsBN9x1ENNeBvz50DWarZM61/FDSIUGfFzrqmEdr+widlZnK4ipmXGaSCsIj9XOXD9DudOwmsmgopeAXFHq7Sli7shN7r16B23atwnVb+7BuuAudlSKKBR++37pg1UKpoWKkGkAzCFFvBJieq+P4+QW8fHgCzx28hGPn5nFpoopaI0yXYCsGcIwRVzHyecvQsTUvO/zfpWNqz0wf1kbXaYJiZi7El//uHMJI48iFqsxLAu/QgXI30XKFX1Wl2KUg1pRUKSt7Ity0MYCngCcOFVFtZFY9hlNYcDO08/ii9F0BPKXBg2o+YhXcuFx4pDoJRuKf43clAFJfzjdv4zgkPfFCYST7cD65TiTckjxS1EnxUHhJl8vVk4Sf0+L6yvNFKqOrneuKFqo37mMSnCRnnrwuebifSP7NYSk8P9Zx4jgn8EX9Iq2LtMbhCwWcHPfRCPJ0rIDCQPxuo9QeT4weWh+14G5l5DBJiEJ6tytqPY15/WANazoDvHzJx+mFhbQ//TiJInUJ+RivtVUG0j6WnmJe/fgrn1qn70pqkLtZxGbWu1vMlolK7UWqEtXwqYGHcMfehxGVawgnhvH4i5/G96r3oFaspH0MEhMU8K/Sag0o3zEtKIyXVmG8tMp2A/5xl8zdVKI3Q5/rLXE71tcE6VrhXGkEj578NNZ1zaBzz7Pw1p/G5y4/iuOvrcdo91Xx46kEH9Ul1ZlS7rbllMywJPxLuDLTliZ6kvTPxl/Gz7I4PQV0lzQ2DGjsWh3hHesj7FmvsLEvRH9HhIIHKKWglIrdqoVAxX7QYieC1hrVBnBxsYDjExovnFZ4+aKPw2MK40tAPWTzEU3CaRItBVqZBJu0AUyHTDXcrzJJGvFlSz/C+NEZIOIzLR4XAg8Pnu5DqIGlwBN4Y/JzHjPTABPMWgIkP0irrt7UiS2rKjh6voq3Ti22PpCTsC74rMVfXLecF5T4PJRZLjTER3+T/lwnWbnKxQDvveYoPvDJF1HorCNYKOPVx3fhOz/ei5PVLmg6H8W++sLYCArfvRN7zhxFb+8CqrUKTr6yEw+PDaHR9BMyRT/E6nIT/ZUaJpcqmAwKaAQFaLMtA5l3tFZYChSAUjoXcl0myZNLx8D0XCe++uPb8D8VA1x12wl0DC/gpo++grlGHx44vhaztWK2v8fwcBLWsknnRgrnsAOFSRI8GTRBI8315kKptdwrgk8YVxw+hi0WfKwaqGDPzhW484ZVuHXXKuxY34vuriJ0FCGKWume1gHCoDU3qdiX6LGvgM6yh+5VXdi0phfvvHE1Pvf+rXjt+BSeOTCGZ1+5hGPn5rBUCxDB9qNENyDj1RTrwgLRmbSfIxedr2NScenY1NP3MZO5CRA/YGVCtLhUaxEee24aALBUi+x5JeFXiB8yArUvbyNxtGY5F/UEdvuqEL/ziWkUSiFe+vJqkjhybbfDxXkwJW80cCvxc2kUSqPXhUOMqASY5fLH8UptLs/jdCR4qite78LlciSJNxcvEn6pTYqI8nThOpf0L9nd1c6LK1JrN8ja2Umiuxw+KB6XnV24XP5O2zSy+ue8C32VbiWP0VIOjrT4nsItW5p4x+YQL57x8dThYorL9FHF1v6Niq+w3H7xIb+LZe0jaLroeJJu1Re9CJ++agbvumYJX/oBcHaiC1GSLKq0rwnarUe6mGyGtvXBHOIvfhEo98EKqs3dD8Q88SuL1h0oLr5O+8XV1yydwgfu+i7C/hmoZgn7n/0Evjt9HxbKPTaPIPilJE+p9I6jlGglYhH+uB7Eu4mUFrMjDZwNHMUf60ArD2+WV+OJIx/Bx1adQrjhDLzdT+GTcxvx1YntWGDBf8oDr9PIfDI+L2lM+NMyHLULlZ/fOU3gmayK6Ce+sJG1DcWZ0lDQ6CxqbFup8a6tGu/cEuLaYWC4O0LJ19C69RcEUZw0ykEZPS8XFLYMBNjUD9y60cPpKY2Xznn48XGFF854GF9UCOgHaKiepCTqSnQs3bV03WVM+iE7BySgZPwm+hZ0ys77yyF+7eo5jFc9fP90F8ZrRYIDzDYQZHWLmmm3Ek5j37T5/ncM4JPvXoW/fWwMR0erCOuhPZZzcbO2RH6HjrmfJTDsV5JP6kPGRqGgcevmc7j/3gMoDVQR1Qs48ezV+OaTe3BmqVvGAY1m08fTl1bj5ScH0KMbqHoFzNXLCAI/gfFUhN1rL+LDe49jzeopnB/vw09f34DnTmzEUjPeg5NfeJCSf9rOk2TBv7RWuDjZg289cRM+Wwix47ZT6Fw3hb3vfwGn6/vw7MmNaPB9HvP0ZeYmNrQozWwhvpBne5GmSv2BL99e3J7gI2ugRMiz8SgAA70l7NmxAvfdsR533TiCjas7USm1FrugST+sR7DFF7jMfGUucpn5KYoihGEIz/MwsqKC1YNrsO/aYbx33yQefm4UT798ESfOzaMZ8rXN/CM6TvimOhK5ktuUUMfHWFsdI61PYgdl6z5ZHwF6gayn08evvHcNQmg89NIETp6t2fAAMgkob19mDvY29nGkgSBb9DP1CvXAw/RUGcWCRmo7bcFkvVwSzsabwuXBSwGmxLNi7drR7qLVjl9eJ+GS5HeN/jzduehyelqobycDpwt2LuHJ0wHn3yVHnn9QGElf0uhu1+7S/3J4422cZ+5befJI/El8SnxoBkdxc3838C79LVf3aD1KGlVJPYdL8RY84MZrFvDpD86g8PAqkjjGxesCCr0CD5w/EmiaevqZfLMIW8F5yo7WGjNVH6fPNLBUK7Wq6Z1GX6U4NdLHOulHcugXUIG0XhP5lQeU+m369KuMPABWgBXkUpkcAfVQ7TI+d/U3EW45DSgN/5Ub8A9jn8JkeQVRG9MDlE3HUrGyf11uyYPkvCuuYrvKHtI7NnyrB60RekU8Fu1G7/57cU//36EyMo8773wci4/sxdeCuxH6hVg209Hoicmpkn92kZJf604p8ylLHJXFkbixMKbFgJWxlaMzTwHr+yLcu1Pjvms0rh+J0FsM4anWFfyQBE4mQTTBmOf58H0PURQiiqIkUGuxpREEAZRS6CpEuHZYYftKH+/aqvDkCY0fvKHw81Ef842YYeObOpaJ2k7yCemiA09cFLJ+yXFQO/GtODgcDfzEaYW2KwyUQ/z6+y7j6JkyfjpWwXi9yKY2wfZWYuJi3OE7Eo64zNVCTF0KsbQQQSd7y4L41TJ1zM+TZF1lUVg0kMqceZ8QWVtYvymSa7rn8JFb3sDA5kkgUpg6uAbfe+Z6nF3sgbsYn1SYW6oIX1BtydldaeBz73sRG/adgV8OMdDwsXLlJKarXXhldARRlOOPlE8qC33fkc8JRPYICkfGh/HdH92Mz5ZCbLrlJIZ2XsSH517FqfkBnBwblO/+JRe6aFtGuUIdBNvEv9bXRHPmqAwiAku/Dkpx5oVGDJ3vAZvX9uIX37MZ99++HtvX96JcVNA6vcMIIEkG+e/0fANzSwFW9ZdRLnmZi1ymr0kq+7t83HXjMK7bOoC794zgG4+dwDMHxjC3JCWnkhCCcC4dO8PLuEPmAtUydCyFjXm6jtu6u3x87qNDCAKN18/M4+RoLcs7Xwt52Jc3z5LyNu44LkMCUt467+HffrMHCsD0Itc8IM+qVErJuQ0Mt2CeE3Cc1EJSwEzrXb95/ObBtRtxEhzX2XJxcbyuEeAqXF/SaFkujjxeDJyEi3u9S7da6OPSoVTnmhHEkZfDS7tZxsW3CyaPXw7v8ncXX+1mJhceSp/UqwKgyoC2voQFSW9hBBw60YVHHq/gtbO+zUthoPVhlozMOUUMHM2xziZHMUwzVPjKG13obFRxqVqAhkpJmrs+5qqzEdlK3rT9KX+TkCXDJqZX6gX8gkMdClZgqzUQWgBpEGA9VpmqrRJW8YW+p7DtxicRlBqoX1iHrx79FZwtrCZTHQueTTJqElL6Dp+hyxMkSY85dx2V8jBUbmBTTxMXFn1cWCq2Hh8Sg2ZF3IDoN7NPYOu47lfwxMJ9uOrQDK7d8CCw8hKu2fkgtry6DcfVJmj6VVorYSZySnccpKQwuQtoAkvCp6QTtq1DEnBxHVPZ6N6G2gARn2A8KQBdRY1bN0b44r4It2+K0F8J4w87tTaF5kFWS5RWvef7ODMNnJzyceNIiL5K9k4k7aN1hKKKsKnfx+dvjHD7Rg8PvqHxrdd8nJr0ECQfNYppmsfHafLBgxepGBwRsxfVkeV/SOlm5EEXAAAgAElEQVRJtCz7GN4EH1bcDsB8w8eDz/ZjbKmA2YYJmZRtN+7L1P5JNfFnM3+IviMqBADwrSfH8fj+aUzNBmgGFK2ky1hWy7fjDkYPSV+Cy5KFwpHzZCwom99MoEzWCA1AafR11HHHza9jZM8Z+MUQ06dX4NtP3IwDE4Oxy1ObE3slfElrWspnd38VG24+A68UAFDwSyEGN05hw8pJHDy7CpH2mTxMNoOP2sbaN0/QMbFhM/Tx2vgwVj30Tnyybwn9145hzd5RfPH4EXx5eg8W6mXbDxPemSzJGCD8GPhED3DoCfYXuS3/1o5QKYZJPgTEeLQ+EMT1D0sHhk5HuYBbdw3ht37hGtx6/Sp0lj3oKEoSPdcTDy12FCJ4ePrAGH708/P4vc9ci+3re8ELf1LCcLeyr4gP3rYO12wZwDcfP45vP3Eapy7Mty6iWbSIPpK1kY0Pj8lrdEztkDST+RoQbIV0L8aMjoluk2OdxaeZD2hgqRbikSenEUHj4kzDlsuSL6ZvEtZkzBPcbcoVJo5USEFoqU2l66ANS8+p49M2xyAVExeJBw7LBqYTLq9wmSkOXifxLNGX4GjJ0wuXSVx1HLhzJmCRRxdeFy5zzAu3CcXDeaO4zLlLjjyaEj2uU8menAZv4yOT43bZn/dfDp8SPqlP3rHEK8fd7pzLzOD8rtaXODP0bPsFkcIzh4t48UQBtSC2gfVoquSbgFN+K8ikiyOb2KnYkYb2FHR1FsrXcVeyABpgyx14O5AJ+ujdSKWg6HuNUrBoOtL9IYEsjPUlz7QoHeGqcBQ7tjyJaGAS3mIH9u//KF5a2Ieo6Kc8Co/yKq1xQziFDf5F/LQ6gskKvTvpsYUK9qIrygILrr+ziF/dE+CedZM4cNrHn7wyhImauRvIFlRqIManVXSq37HOtXhy/INYf/El9G44hc3bX8XdZ36G0fk1qKGc4qB3MBN0zB6SrJm7hiRwoLxwnWT2YGQimsL3cbSSVZCFPTsfD3drfOK6EF+4SePq4RA+AugoDcqkK/g0SPM8Hy+dA/72ZQ///n0KA2sUec9IDuYAIIpCFJXCjhURfuNWH9uHgK++qPHSqIdqk/LN5KNjV7jIkLGDx2xHAx06KKWp35rmHGNOugBiaMRloubjjw+sRKAV5pueTY/jp8eeRNPQZXJzfWTOY3sBUOK7hQqWX0sXPvjFEQ7H7aKR5QkMV+bRPoEuUZYC8O7No7j1jqMo9dXQrBXxT09cj2fPrE8fN7VI8nEV1ynSzi4KhIGHYLGMciVMxIiaBdSaJejEtoQ3iiujE4G+NR5lHTebPn481YuRp6/Fe4bnURlexOb7XsW+c6vw9PFNiIzirASe6cvSMbUvg6N2IvOi5RCKwGTWM9i8JO80KqTJLB2rtJOkn1Zdb1cJH3/XRvz6x3fims398FSEKAzBn3igx/RpB0NrfLqOI6fnsFQNYjbli2EGTyqOhlIRNq3uxK9/dCc2jfTivz54GAePTiEw30Kw9ELk42OP6p7rmPqFuCYQO1B7X6mOk6QPZD1M7Tu7EOI/PTgKAFhYCm18BjSZ3wTfzvDtLle4jyPgDjrlCWbn6gj/7tMT+A+fv4SBTvMmN1USWUiSc45LCBJzi4svQ4vS5sf8z4VXOpdwtqu/Et4lveThygu0OT7JDi5+qH54JC4F+bxIenfRpW15OCX8eXh5vcQLh1mOH0o64rjz/CyPB6pz3l8aV+38T6LjklHSmwOfVwRUOYdW69hTwJq+CLvWh1jbHwFeJ1AchP0+o4svQX/J4h0fJ0kk+aV940WrEMziszum8O/vGcfNI1USmJl+LPijQQJPGCj9GN7zVOu9Rp7A8MITDMX4BWw1QiWLXDEMsKfzZYxsfQu6EGLi8mY8deF9WCh0ZPGbojWgNdY2pvHpjX+DL9727/CZ4QfRESxlk2Ie5HM98GCU/BY8Dxt6i9i1qwtXD3Wg5LEMyrrqqWy8FD/XldZAsRu63IsXGjfgwuvvggp8RIPTuH3Lk1iHi7J+7Uo7UJQWTkkuzqfLpjqrj+SYvtsq+bGkA8Lrys4Iv3lrE799Z4hrh5utpJEFYuZY+jV0q02FiUWFZpjVj3bJFbdpHaG3FODeqwL8b/dEePf2CGV+OZong1JCwpMMnnC5xhqlQX/NcbJlBWw/dQZKKlNX8TVuXFnF1X01dBTiKzqawHIZqRyupNCypUFIkrcU0Dr7xDtX4v/6zc340J2DKBaUDWfGED2WfN7MafT92WS+JDpUBLf5pQmmdCWEzpdU1rhtqGcR77zhCDrXzUJ5Ghd/uhn/dOAq1OsFYjsqs7Z1zOVMaCLhf262A8/9ZCeCpULLBRo+Trw1gsPnhlpbLeUWTZYJs65S3YHoVdvHFpxCvV7AI0e34dDz2xFUC+gYXMI9d76BoXLV9lPFdJnIxnRtsa6R8XXrIhiDTWAIbEbfRA4l1RE+FMdhy9JR9vGFe7fif/3Cbly7uQ8KYSbhc81PmZJZ5m04c/dSmquiqPVI90BPER+5awP+zRd2Y9eWfvjJ3VidjkVznvF7i1hWxxqpX2imK37xAYrIY+zB9K6IjhX3f4Y7oQuUCh52be/Cdds60dtdSPFROZM5mPivuUgtXuSSy9t4xxGwFWq0oNlvq/R1Rti8tYpCJUDrwrdj8baKZvV8YHKLcRjB6TPtUpskn4snVzs/duHkMmR1Jy8i7XjlsuXxI9Gk8NyuQBY3p8txc51zGsuVkfeV2iTZOT0X39IvLS4YSdcuHXM7tLN3Hv95dpF8I28cuPDzfnl9Gf1CD9CsC3hS+KKvcf9ts/j8e6fxg2d24o9+0JP2t3xHsgejqQErGER8zh9bNT+mexTACxaxtq+BrZtq6DsSQkWtj38nQDrGST/dn7kDRugaHmK63T3l1mJHv4BIJnzr8Ud6tzEicvAgk97F0Rob9Bg+tO0pBEPjQLOIiRc+hMNqI7Ty7AVBSMxWe00MDx9HtOkoRi5ejeJEE9VCZyqYM8h31LFkZ7JRwv/zWhlHp4EXL3XhcqQBLAhD2jW3OtrKvUCxtT3LUqELXznzGfzx3MPoWHEJfTvewi2vHsBJbEiv7nM89K6Bi4bEQ578md/kX1ZHLJ5oW0yABWCgE/jD94X47I1AEc3WXULGl/Sxmyspy4XXWqPkBbhtA7C614OvfDx6xEcjVNY4SGTIQ6sIHP21GZPxcniJVjtfpvaKy+ruJv7yU+dx5FwZv/34CI7O0kcdbV+37Z5TLD7zOtj16wbLuHZnN3761nzrghSf8zN4nQzY203Q+mS6ZOMDXJ+K/ToIx/h9FeHe4QtYdfNZeMUIc6cG8fWf78FktTOFkxJ55hNKaXQWAnh+hHqziEZkX2isNor4+o9vwaVja7FrxTjGptbgHy+vwKWZHui2iaPbPxTidUFJ+pDwKlya68Yzr23D5mvOoW/rBLbecBa3vXUS33/hutY0zy80ZHTsws/nD7L2JccqvVtpYDQ9F3CbdSp5dJ4cW3O0w8810Fkp4Jfv345//YXrMdDjQ0fpXUY+D13pnLRcHNk7mUBHCXj/O9agXPDwh3/1Cl4/Ph1/2MtFyYwvRcJ07qNZ/2wxENcrMJtQtKTOwNOvQXMdK2YHhnuwr4D/+BubEAYaX/rLM3h6ejYlxv3D+AH3oWXecXybj6oqcs5/baJvnPPxpa+shaeAqSXaJiUz9NyVaPG+nDcJXphgreN2gT89bpfQ8KQpr49rwpX6cP54UC31zUskaJF0065wnHl0OR0IcO3kdcFJ9pFgecnjW6rP48M1Hlx+7bI/hXEdS3p30XDJJhXuxy7akl4FeVQx/sKqeWQ1y4fWwEKtjFqwGkvNDgdOSTYHnyapohOftD9hknQpoPH/Mvfe0XYc54Hnr7pvejkAeA8PIBJBgABJgKBISsxiEEVlK9iyJdui1x6H3fHac2Zsz/E67AR7PDO7Pp7xHI+DJNuSLMlKlsQgUSJFUhKzSJAgQRKRRMYD8HK6993b3bV/dPq6uvreR8p7duuc9253V9WXq+r7uqqr5mih+Mz+YR442scrM7VwR1XzjXDGMdXZYMyEKdCXqzXK5bib1cYgnBCdXmfePsadPulAYX7np8DRPrezH/fyFwjcAP/I5fzFhXfS6BJLYxN45AaH593V3PPi3Vx26Hq+dPbtzPUOpLLMvO0UA1nRAGMJUgMc9k1V2TcZLRt1ge4uaMxA0MzDSMRiwJIvBMq9SdAYp+Plizj+0M+x4yf/jGBomo9c9i0e2ncD411rLcBVnv4MHqHH+Ln5nWVmtqEAlgVtBr6NtyI6ouwNAwG/9Xafu6/WEDSxLUFNyegcMCatdwXdv+27pOSZ9ti+qsSfvl/hKs23DkZL0DPdltHHmjLOyT4u2m58zxFJ4hxlukCLrNszC4RL6s/MlLiwUMKLN1Yx9buCt/R2+Fn9hrQKXg22v/j98zx5aI4jJ+u0WtpuZxn6VmibaHIvb2zOppLlLbTbXjQBCs3WgWl23b6fytAS3lKZp36wi4PHRzCP3SikM5LXUF+d3779h6wem+O+713Ft17bQst3M+Vn5rv50suX8mW2o5PvySx0muKxyEYpzc7BGXqGFjh+bpgLS91GAJoDksgy0IpnT45x2ZOXcuvYHJX+Brdfc5jnD2zm2IzYCCjHKzm1pbTHeRb7kcm2cKdTG9dGPcfIzG2eFI8P4fOBvjI/846L+a2f282q/lKy2RaQmxHs2C8pRRCA52l8X+MHoJSDUrptPVk/F2QScPu1Y3hBwH/89D5eOjKNn3nhS3sXJ4fEUjZPSL68CUNe5zadEjK2lY+K+L7m3HQT39M0WuIgaZuc5bmUkoEVjAHwYx3HEWNpJzXN5KLiySMhmuWWrC+J7iT5Ivza8gzysGwOsI0PGx6zrg2eDa95bXO8i+gyk0027fgtgtdJLja6zLo2Wbfr5YpgmM9s8rDBXYlcJY52ujf5bMeDSU8RviI+TVi2gcekrZ0+bHDN63Y82NrOSvTYznYhw7PbHwWOdhts0c0DL4yy97WAiQV5eJFNVytofyr6l3FgosHO5pi3GuA3CRzFwZkqR+YqNMzleglM06EwyknnKgmaXCq1nrRoPLNoC1gyMA1ZyvxMQBveDy1Pc+fWF6LjN8o8//Q7maiuIX0rSZ5+ce87Ll/3ruPrC9dBnxSvgkAOQNiTLTiVSbkiL3Z2HKgNgd+E5TnQXlY3EpbpzFb6wnMapWyUInBcPjdzC//lxFfxNh+DSw/yvheP8LfBGgLHTWEkpiVwWQO9WI/R89wxD4a+2sEQxXJ2kjwTNhqX11k4a3o0v/I2n4/sCiBoZRyzFGXxt4nZe8Wyr5hb1uFv0yFAoVQrWfplLnm14ZLJ8zzGeuF3bnVZWPZ55DU3XQJbtBQqJzfRn8QbCmGRT1H9jPwKbLPIabXo5Nxiid+4Zz31luLMUrl9/Zh+beJLWcrYlXwhk5vhy9N08Hid188s02wG1lnmfLLYZjK7IfosywxGRg+STgk3w08RPk2l4nPlpnOs23YODZw5NMpTRy5iySvny8c7d9oCOwXdTotVbzlDb3eDNa9MUjm2KQwczfYIaFR2Y5sV2VC2Py6XfX7lgz9kaN0kP/juNXxx72XheZ6F7V8JMJrF5So/emUzV73tMKu3n2d0xyl2bjjDidntK1g6m3KSwE2q2Pvzwv5Nbm4jd1zN7L7aBn2MUmsxLqrEtqtlhzuuHuN/ef82Vg+U8f3wG9M3OsOolEKjmFv0eO7QJM+8coHJ2WXu+cEJqtUSW9f3USuHHUPRUvp2y1914HPb1eu4ML3Mv/vk84xP1SOZ2WRsVtZpvxzLQhY2z2E0TapTMnfvlcG6HA8SeuJ2p5me9/jDvzmO1nBi3NycEIOvor5wZfb4Jr5xTDwRA5F8lnJ38eqAX7utwf92R4P+mqwfl1MWGDaH24ZPwuikGdnITTpt+IpgmB27OeCZcOxyyfOujGfKqG/7s9FsOtUmzUV1TZ6K+LIZVqYltanbDqep36I6Jv+m7m38mQOKzRbMumarN2Vo1rfZRhEPK31u7SnIyrqIV1nO1G2RPm36k89tNmbSL+SgHHB7LXQB7gC4/Sw2YWpRsZjspWPClLgVbeWsiZZ36uwzyLOsAG8RHEVJBbzrojn+5WWTXDG0jJKOXaDTJaMgHI/oOnG6DOdBa6gORc/kgK5SGnPmFOFSEo8FtpM+cwjYWh8n2P0QSoF7YgOPLO2h4UQ798XfeOkCmGbK0eZn880A3Ew2x8yV7ydVtkypCt2rw2WnyqHiarpcH9cRdMtUimYapXOf0Ko5o9fz2Eu3gl9CD0+y56In6fPm8/RBfkfMxMzigVoJmcTkywHX5J3s8mKzfJwSGRfoQOvUIRH0dpU0H7nC42NX+fSXvfzbdOEsmd8PhWDjZw4tXeLEXInPPwf3vurSaMGnni5x3wGHyXoZrVwcx0lg2GYN5BlrEofntdg54vObNwfsXBOknyybgVts56ZDb868YNQ327hNjrG9d5QxdjuOnyuFrxVTDZfZposvHX3zJY4MBE28gWHLcvMrkw9JW2yH0e07rxvidz5yEbdeOYjrOqJtC77jegYfSTL1kRnGRH8rn8l2ltAb1zM7sjzugVKLi7ecpzzYIGiUOPTyJo5ODMeb/2aT9Eozw1N4M9no5v4vvZUXv7Gbx1/dTN2Ld6o28Af5uhk9JQFQ9Dz+5lOOLxqU0nStn6EyXKdaXULpgoBdBp4JmPDZvvMjnHxmE0HLpdTd4h1XHaS72kxlZsLL9S0qS28mTxv8kfZjETmZoFFjn1U0XZzMmEEWhxFgKQWXbR7kF9+/nR0b+9HByoPGTF+lHObrPs+8PMmffmE///Vz+wgCzftuvIjnD0/xb//Hj/jkNw5y8MQ8LU/hOI49OIxgmr9xqpTgp+7YzMfv2kK17IR8xDsEZ8oKgcgXA9L24yK242kkGJv7ImUMluXjRruTbdVA4PswNecxPefR8oxCNj/Ihn+FEe6b/MbRNmKa3IW/G1YF/My7L1Cu+vzD45uYqdukYKtrc3ylI2nSkekpLTTa8mSPK2mxGY6sb8NtwlXkaSqqX4TL2ksIfO1g2Z6bcrEZiU0GZnlzoOgkI5uOTWO1lS16VmxveRqK6LLpqEinK2lMK2twWXiSBpM2mW/DIWmz2b4JB+xyNeGspK2ZvLah2e0Ff4nwbAkFqgSlYVAu5ZLmQ29d5sPXNvjWc1385cPmuVxFOGxtVAxwZlmN+I4wum7WIWiB1pRcePumRW65cokj363w4kQtrJ0sTRQ8KZUNDhJxSfxApTcMmJIttwVJ8cyVPLojdjjlIJ5hX6VBZbJjq6a7tciH1/2Ayqrz0Cyz78BNHPW3QbxxRmY2wEgyYIpxZnbAhCRwNAMhuWzTDGwlfDnTlzKTb/LlHgZ6qrx7bJwtvdM8cqyHZye6wuMdYnnX+nPLU6v+Mtv9KaZUlbPuAAtuDwem38b144/C+hPUtrzExmMz7C8PhDsqyhR/Vyod6JjumC8t+MwcvxD9yQDQlJ2ZZOBvK2fKWOAuu3DT5oBffVvASFdAIL4bsiXbN0XKcWn6DidmHH74uuLRow5TdbhuE9x9jcdTxx3+/DGH76yG27cprtsAI70+JSdAy5lnK2vZHREVPtdvVPz6DZo/eFBxbkF4qonjjt2GpLOUm4WN2mPRjJE8AqNIFbnAVOXzhK5Huzz+263nODlb4k9fWM3xBTHraB7JkbFrnddpjK6wPWJ0p7L9am68tJ+f/4m1NL8Oj+6bxfNI8jJyQ2Xry2s5Y2QUz9xIuCasXD2j34/rKoWjArZtOM/Oy8IjMuaOreHoi1tZXC6DUpTc8GgmXXT+pgG7vlzi3lcv4340vg5np6x1bLvPSnma9mEuy0SB0rSaLn//ydvYMTLDQ0c3s6QNtzkzA2eTcXhEx5f2X8altx2ie/0s6/acYvej53ji+AayS5M7yMA2O58E+0rM1sp80jIacvZgpgCSDVpMO7TQpIA1gzV+/r2XcP3uEVw3u1ClaHk7hP2U4zgEGuYWfV5+fZpvP3GKfYem6O8t83Pv2sbt16xjzUCF188ucs8PjvPg02d49Nlxbr9mHbddO8bmsR66q+FxXrYXZrb7IAiolh1+7cM7efHIFI88dw5fR5GfbTlu8lJIp/mZ41MwZhrbyFiLeqaMoUD/EWDZXxkvroYHXP74ExfjofnL+07z3KvzBS6T9GcEPAiD53ZjWJTeQOBoOpIGwgJH9tSUw7ceXEPZhYVlWc90eE14tpZt1jNx2vIymmmDw/y10WjLk3hsfNhoT7wOS1kbD2YydVFUrhMNWK5tPLSjtwhHUbLl2WRdpM92cGXZIlpWClc+b4e3yJbNdtJOZ7ZnNl5MeO3oKXpmb6d5/Lb7Ini2JOqWBsGbBKcGpYHkuVKwdlWTKy6dZ+/Ragd8UCwDc7COHxtOU7K5jYLmQpLvBZrHTvRxYb6b1yaqKUcqdyFuddoskvOG4poOlPtC+PItpCLFL2mMhRGXiR2oeLbQsfAW1elvLVDZ+jKUPdzpYU5Mb2TG6c6WszmPMU6rMygHEg9rsjllEl4SANgCRwNnBGuk6vOxaz1u3qXo/Sa8POcyX48CV0vQCPDB4BnuvuxBDk1s5M8ufIQTpQGOzu/g1JlLWb/uBMOjp7m25wQH9TqalC28WsizzQLleC4Y5G0yzd1b6rXRgwNcPBxw9zUBW4YDtG4fNIbg0kDOcRwansPr0w5PHHd47DVYbCouX6t5xzbNnnUBPeWAO7e5PH1C8dBhh8/vVTxyBG6/RHHthoCx3gBXBWSncYrxBkFA2fF5184SPzrt8w97HerSlOQLkyJ5Fzm2RbYMRhexEhnHeUZdEdxX3IDtm5ZxzmiqTsYjtp4tWnjfaQxtx1fkMD55YJ5q4PLC/oXwSIEkXxXbchIsGTAlriJZS7jtyuUCn7RMtRSwZ/UEPRtn0Fpx6sUxnl3owfcdxlZXeMslvRw9U+fw6UZ4xl4RbHEfaMKzYM1yFvxWeSTXZG3ALKfC7xSfPLeBJ8c3FJBjsYGMjMLrExNDHHhuE1eNvUS5b5l37HiNp09fhO85eRkngYXsq024pOVs/GbKi3EncVmVsbQyyoi/f9MCrlX34XWt6nLbW9byvhs3UC2rZPl8HMS5rpvrr9KZQJhZaPHi4Ske2XuWl1+bob+7wodv28zNV42yZawP1wkDwu0bevn1n9rJHdeO8ciz4/xw31mefvU8V+9Yza1vGWP7hn66ag5OQd8YBEFmaX8QBKxd1cUvfmA7r59d4OipBcmWFGKBjAt0IotnxkLsuk3QtOvTBYyMrZDYbbmk2LalC8/X9FadtO2263bMPGXq2J7eQOCojF8zz6QgZPT1Cy5/9nANBcw3MhJdIc52XNsaUZ6GYlydHP4imkzaJCwzYOgEpx09psEW4dBkeV1JkJfvAIobyUppjZ+btHfSdacgqJ0+zWedAhlbUGUrZ9ax6QXseG1tpZ1e2t0XydWEWzSgmKldecjbUTua7W0+m3R4PEdpFTgVpK16vuKRvT1MXajx4hkzwLDB7OBUKEsdMwpUCrxlwhnQMHna4YGTPTxyRrPgOeHMVK5JycHUkIHpcNQGU6dSCQrlrIh0nG2DNGRnujJvycPnTuCzUy2yetUFtBNQn7yI03NX0nLLUTmJzyI6M9mWDfqtYufSnJmTKeGhlK0Xl0uaVgpjznN4/mQXZQIOLQziVQaBALQXnYEZV0zh3zr4AsvX/xOXHL6c9bNv53gwyCmnl7MXNnBRs4Lqn2TVqmfpGr+SZqWSd8pjGjIBfgGvtpmbIpnYktw9NycTldWZgNdT1dxxScANmwIc/PR1SRSkuW66rNRMvq85Oefy4GH4wVGHuQbsXge3X6K5bDRgqObjEBAEmuGa5p3bFLvXOuw97fDoa4rPPKt49KjLHdscbtrss6YnXb6KQYfv+5nvmrQOGKz6/ORuxbMnfV4440Tma8ixk4xlHVu9SGyJjDV228w45elPMlNo0hbdTy6X+L8eXMP0ssOFRrws0qBF2iZF/GEk2RYEbZnhTVRS8NCzMzz+0ixLjSAbZCV9Q9zWhY21k52UTxJE2MbwLGs5WMlsqawT/vb1LnPFlnHcWpPWfI39L17MTKMGaH7qllV84v2jfO+5Gf7L504zNdtKYRWNmUW2kTEJQUPCgpSxzpYzYcU0ZPoLUtvKDDVhxqaxGpds7GJuqcWrR+ssLAVpIQ1Nz+WHhzeze/Egpd5lBrdNsObxRcYXevMyztmX4b8kG6XIsU7q1uA/vk76reiRnCWLbU/aUXyd8JmVsVIOG0d7+MDbN7J2uBYdf5G+tAoCmK97mdX+MTWer3n9zDzffuIUzx64wGBfhXdffxE37VnLxtEeqmUg6ptimNWy4sptQ2y9qJ8brxzhkb3jPPnieZ55+QK3XLWWW64aY+2qrqQbkPiqJUWlbGyYo32uu3yEO65Zx+nzR2gsx+cfxnahyJ95KHST0UmcL8YV2SZMGSdtW9pp0UBttIXMzHn4fG7B5y++eoZABxw52wjpln2L2S+YY1WmH2qf3sTmOCtNoQCGewKu3uLhKM33Xqmw1GznwZiqjn+NRp4LAvIGTcb5Lcq34TVxm2U0edra0bcSfm11TJps+G0022Rig9lOdlAsExu8TjzaZGHWscnapsMi/k1ZQmeZmfSvtLyNZpvuOtknFMvHVnYlee14aKd/W16cH9t4O9s2eZJJhcGjAc8P4PmTJV4+69LyKa6bo8WkK7qX6HMzdSpdVuYtZlhwtGbH0DJjPR77JqqcWKymKIucPxXdxCYa57m1kFeN+K5J9BfyG8YYlku6REQGLXJpLRG85DBoTUl7bBl6if6BM2jf5cT4evZ7IwRVN61bNCticyqtMxK+/blYoudon6oO8JSipa62OuoAACAASURBVF1DZW4eR2b2NM2baJT5q33DfOnAAKeXyuGOnI4LSuxKawysnz1/Pf/qW+d5am4jh5rDUFYsud0snL4JFu8jGLrAwOA4vaebzEr8sWcRB+Uy7ircPdW4tg3yuYBG1pX5yq4D6QQSngG6YyTgfTsDVnX7mN8YNn2H8VlF3VOYzd0LFPvPwn2vupxbgJs2+dy5HXat1fRWfQjCJajxEt4g8HGUYn1/wFifw/WbXZ4+Dg8ccvifTzh85wC8/3LNpiHI7mwYLldb1aUYriW72UR8+Oxe6/DenYrjMw5TdUOOtpcSK5WxrbymOM+Elzh+hv7jcpGs51suXzvWS6AVdd+JWc7q07zP0EBaJosk+1zahqRdzApdsrHGJetrHDpe5+XX6vh+9MYjxp9r69J5NIjIzURKv8nkIZZjuzyDr8jGB3sXGbjyJKBYOjXA/rl+PC98UbhhuIvRkSrrR6tUyqoNLPmoyDZCXpUDtYqL6yjqywG+9RtlAcOcEcrIJHomvxHM6DjEu3Ftjd/72AZu2NPL1LTHJ+87x9d+OMlSPeo/IzWeObOKuddXMbT7DGtGZ3jrqgvcsyh2V42BqgS4wCnGWEv/maERlepd8mWVW8pHiFvilbKJ/uImrhS1qsPNV41y/a5R4tUI8Wyj4zhcmG3wF195lZPnlgjEt8lKKVqe5uS5RUaHa/zkbVu4+aq1rF/dRakU0hu+l0uDUPm9Ym/N4dqdq7j84kGOnlrkwR+d4mvfO8Y3Hj3OqsEqjvQVlKK3q8S7briId113UXQsYAp71UCVD9y8kUf3nuXQifmsnE2ZZ1xTo01lxGrpz4pkLHGYMpa6SfoXneIWbX6p7nPPUxMANJaNfsF8SYl8JvGA1T6M9M8UOBY7wjvWBfzxx89Sq3rc/u+2iMDRVkdqpp3DLJPRoHI0deiErMGqjS+Zb3OeTYe3072Z1ArKyHImbzZHHuz02eg2+Syiv6hekb5ssGx0yvqmHdjSSuxDyqqTbE07WIn+3igNJuwindnKdaLLLFNkC7b6NtqK7Lpdaocnj6vkwu2XNbhlR4MnDnZz776KpZ6trZlJpYN70mFrQZJKq3peNOMIcXBWdjQfu3SWu3Yu8u8eWc3JoxW0rJOMdzr7fZrNCa30Z8gKawkdyWA2rh8HmHJwxrhPuse4vsINfKqrX0MPzKJaFerntjJT6jbqCHoR9xJ37kzKqHzgCTkaA2h06QQ+t3n7uGn4RY4ubuFe71pm6U5xJC8MjGTSFGh8RzHeKDPeiOvobHlLUPZM9x5+7cxWlp0y9VK4lNVTJR5cGOXKhX6GhsfZM3yeHaXznNGr0PEHQB2bgcZucoYzYONJytiUt1k20xXrRBaxnXSXNXdc4rN7TOMQZMlWivGlCv/pYc1L4y6uk2Wr5cGFJcWNG33+6J2a3esV3W4LrYPwe7KCpLVG4bO6K+A9O12u36J4/GiL//Z4mUfuVQzWNOYEZ9mBX7jW4aO7fWrRrqzxW/2eSsA7trv84PWAx4+7+PLAacjPiBcFJLk34cIBsg1jWtiuDU6Rg2ToblXN51/tmeDsQomvHB3kXN3yjVs7us2u2OquWGwkvhWy/siNq7j7rhH++v5xDp44jR9IPBbA7YbenG2Kezkb0m75WqEZhbS4pYA9tRlqaxbRgWLh6AgnFwaSUn/57dMcPb/E/teXmJhp5elPwEl6Uvg2Wvq6Xf7olzcz0l/hz79xiidfmg+r515WkHejwKI/MRYU4N1zUS/vunEVfasdRsYC7poa4uEXw5lhmc7M9rH3xAjv2HWW2upFRi6ZoDa+kUbTLeZd8GYdouOU2Y3TzFd50nNDvUr7vmR8UAUb6YTA1q3q4q63XcTqgTJhsJcGekopFuo+j+4dZ6Hhc/nmgSh4DJFPLyxzfqbOlnU9XLy+j5HhLqoVJ1xSqot3ho6DSNd16KmVWT/SzUVrugm0ZmKqQVfVpataIj6/caHeYt/hKTav7+fOt+okcIzhOUpz5bZhbr1qjKOnFsKZ/MTlsLRJcyy0yTMja1EolmfmZZcBKzcOKXKbG8X5os339ZX41Q+txfc19/xwmsMn6uRSph/Mw1ipv/fPFDhKSWW5X2rC/nPduOUAL7PVvSmldk6nMvJMzZjaMz0uG722ehj3NnqLklm2XX2TD7PMG6G76L5IPrZkK1dUx9b75PXent4i/G/mmZlnHZUL8jvJ2OqNWPJt9HXKb4djpTS3C6bMZGtvnWi02aYNn40Hm21n22TJ0dywa55f+9B53K9uigJHG01F+I2yykJf7GTEBxm3lkSHHRbQSnN2yWX/VJmZlps6ClpFTq0ZXBXQWOkB5aTNIR0jC3jBcIYjvMmgjaAlDmR0MlvW7S/TV5tAV5dhbpC5mZ0sud0Wx1joXAQlIT6DFnnvL9uDIVGuy1viQ2u+T/c77mHTK1fz4kubeVFvJAne3XLeGTVxmrOiNlrMvEjIvioxXR3KlNfKYc6twfh61MYjBKtO0Fs5jhPsIBmC5GxTRiU6NVEpJ9tMiI7Km7IxN0wplHGs5/iZyspCKTYM+Lz9YhiohcGeuZPqsq84NafoqcLtW/3UMVOayUWHp0+4TCw5HLgQsHFY093v4GiSJaUymTsgOo6DFyjOzsGBCYfFJmweCrhqnU93JWV9YtHh0dccLiw6BDo766CUQumArcMBN2yC5047LDaVGDba2B+GzWTemltkL5Npt7aZTStOsuWUYrDq8Su3TvLq8RrfO9UbBo62N/cmPBs/ickZ/bvV1KM2FDuwWjMx53FgvMGFOU+IQVtkKeHGdOYihbSdSl60eJ7wWTDWyHZjji06PIZj965joDT+QpUjx0dZqlcSul8/vcxnJ87R9MDzAgHPGBtzujdkrFNe+7pcPvrO1QQtzbOv9fP0/nn8zBBqGYczM40W39GciZRyUTDvtZhbbtFLFQKoL/n4noQT/tb9MuPnV+E3SqhywNDgPL1Oi0bOFS/ys3T2kZRVPGZJvcvZLi3kV9C1psGS0X6krAjxuK5ix6YB9mwfTjk0+hAA5Shuv3qMf/uJ3Xien9A0v+Tx3IEJHnjqFP/h08/z1svX8MG3b+LKbcNUy2VrHxXPZLpuien5ZR574RzfeuIUh0/NcsXWIe5823qu2DJIpewk/c+R0wv8yWdeEC9wU1hxP9XfU+LWt4zyT48cZ2J2OeVfp7pLln6StTfri6Ocb6ezl8qSn9wacMxzK7WKvkMl2gk2vO7rdvnZd47gebDvwBKHjy8ZOtNp3cS8VDZf/rZJbzBwNDsRsyPKl99/yuX3Phsa1tSiCUvWLYJhw2t7HieznEV5be+L+LM0no6y6ERfUT7GM5mKaLLVLeLXVrcdbBt/tnsb7WZdW5l2sGX9dvorgllU1oa3XV3ztx1usOt2JXVseFdiQyY/K9F9UXtaKT9mOZsd2/CEz/wA9h7p5QvfKfH8sXIb+m2w25RNnGcjX+swcEycsfBxM3D47KtDfOXIIJN1N93dL3bi5eyT3FFVlnNdKPVYBg0pC5UN3GIzSu513kEyzS3Cq9CsL81wVd84CmjMD7B3fh1ev+jSNekAFwcmCWmxgyH0YjrW/jKZj0WSN9lpnUapxiMXdvLe6cd5eXYtp3Uv6dt8l/QsBlEvpkscK5LIw9xl06xry7PM8CyUe+HUJei3fh9/1SQ9lfOouhaqUPl6ySypDa9RXhl4YznJ2QnbbK6cUbTyk16XHM2VYwG71vqgw2+HbKnsaPasU/z2bYrAT8t5Go5Ne3z9JYe/etLhG/vhw7vgfZc5rO528H37xkdKOSinxLFpzZdfcLj/YImSq/mFazzevUMx2gtKLEt79QIcnBBmJlJ8HmR/xeP6jS5fe8nh8KRr8C8uckOFxS+w6cwWpMnySVfZxq6IyhjtYn7Z5R+fGWB8tsxs083WC3SW8cTRVnnYWcT5dmVLcsZHKb7w4Hnue2KKmQWx5b6tvlV2Rfem/MSv1I31vD/RkVr6iVI5oP/SCygF3lyNV+q9+KT5GlhaLuKjje7NQE7UnV30+fQ3z7FhdRcPPzsjdvg06woWUCg0ta4W1YpHvV6m1SpF3b3K25ghq72HF/nLr53lF29fw8HTTf7uO+eYnPUwZRygmD82RGumRm10gS2rpxmrLTLR6DLEaYyfcZ8a201ODzFdcgxBfOYQ12lja0m/JerJtiD7HwXVqsOtb1nL6HAtXMUQ5ZtH9yigt8tl3epuPK8lxKi45KJebr9mPd/70Sm+8vDrfP+5cW5/6xgfveNidm4ewHHCJfRxct0STS/gqX3j/P19h3nl9Rkuv3iQ3/7Z3Vxz2RoGuks4UVClNTiOw1w9oFLKfwOe3cDHYc+la9i1bYhHnhsnu9mU0R60IWN5TXwfKTL+dl6exWjWM8dhJJwIb67rF+OQCvEs1QPuf3wKX8PZmaadrpiWnK9nb0tF6Q3uqmoQnbk2kQkHypyKTW5sDmw7B1UybNJgc07NJHG0c7iV8cysb6Op6LmJp4jOIn7a8WXSb9a10STLSxqL6DD5sZWzlTXpWimd7ei21ZUytdFrk6ukpch+V4p/JXVtfJv4i/Rjw1mkXxvNNpvrZH8mXTa4K6XZpCGF1/LhvmdrPLC3hhe0g7NS+sgGZtKpU0ArWqLqKJA7Esb9so7eSTpRhy8cnAR2/FgGlQpwu8is3xOw037YEjAoskv1Ag1uZMsxnpimzOwLdJcn6V5zCg8IJtZwimi2NPeNngHHpDEeCGW9wA+PK0HUlYNV9Mx3y3xd3cm9j96Kr138ckls5mPbtt4YC4qCN8mr1KmtrPlWXCmWSj0cH38rg/pv0d11ukpLOOaOoNIZlDowZ6ukrMzAX4lntmNaMGBC59nICN5QF9y5XTPUDb6Xvh03Zx0BXAIqjk+gvcQZquBxxYjLFXc6fOiKFl/Y6/KpZ1y++bLmp3bDjRdXWdvjU1LRt5NKsey7HJ9x+M5BuPfl8DiZj+z2+eDlmg2DoP1wqWvCiuNQLZcs7EZOY0Sn48CudQ5XrdMcmQy/X0pfmkDiPCXtQcpYtLOoaEaOVl0ZdoSQuawj5a6M/OjyXL3E7zy6jkCp9FvsnO6yaFL8trKa3GHs5nJQ20uMDPwYqa3tQGH7ilOAmHlQeVnYxhjr/ksqz4/Q51qnQe/qBbTWNOcrnJ/tC0WcC0It+ATtCh2hMstE1YQMF+o+/+enjuNoaMV9esbG8novl3xu2vo6H3//0/ReMsHC6QG++oVb+P6JDTRa4viVzGxsajOziz5/9fVxPn3POYJA0wo0OqbJGEcOTA5zYbGbi9x5+sbmGFi9iJpdFfKWGV5jXHH9CFa74D2+1aS7o2Jcx8nWRymVLZvI1sQJqwaq3PKWtZRLLq1Wfrfl/M7P6XEZQRD2YY6CtcNlfv4923jvjRu497ETfPE7r/P9vePccc1afuLWLWxd10e1rFhc1jx/4Cxf/t4xnn1lgp1bBvmjX30L1+8epberFL0ICxLYqTDsyTwmZGS4xlsvW83T+ydYWvZE/YL2kNNvhtXw3iFbN7E5o16isxyVYYGMTizXDkzPefyHT58EoOkJfcRl4jafvIRIChj4Oqcfc6mqxZoySXPFep/f+OAMbingN/96DefnpALkrzauzWdgVV6GljjfVt6GVwpJ1rXVs9Fj/rLC5zaaZWqnPJuSJW0rqWfjRcIskqFNNyZMmx7a4TGvbXQX0SDh2p6ZqR2eldS3PTd5tsnHlo+ljK28xFEkg6JnEmeRvmVZW367Nt6uHZkwNaaMXQXbRn0uGQk4NqF48VQJuz47yQ6yAUaEM/7APK7m19OqwumsKM3dO6a5enOdT+0d5uETfWhJe3xpdfgjvVTi2UbSjjnXRJQYOGJYEm4EzjzPzAyMomunVCfoC7cQ14t9LJVq+bpSDjFBSsCJaTHNy182zE7QLmdVNQSOSzNwBf/RX6mSpdvmyMu3nGY3G8veMXBn5CjKC749XF6tl7nSd3CcgB3lgB6/QVOVs/UdA4ctcI2fE+tKp4FiMnMqYAjyM7xj6EAro0moBJ6jYF1/wO612gCjItVplMxJyMyeZRYEPgQ+u9a6/MGdsO+M5puvKD73nMN3D8Htl5S4aYtiuEtzYtbloUPw2DFFy1fctSPgJy4L2LoqPIoj8AJsQastybf5Mb1DNZ89Y/DAQZe5plBc0j1EwhBySJ7bjkKRMs7NBsd5hk4ylcjmJXYgnyt6ygG3jS0y13J4frKLuWb8nayObNaQh2mXJg1J4CHJsdBprkBQio+9Y4T33jDMV78/wWfuP0ezpcm1qZh5W9CYC0gFH8R065RGs92btMr+I8OTQinN7t4lul0fHTg0p3pYmOkOA6R4qZ3UU0KfoA1NteIzWm4wWqtzaLGX+WaNQJ43l/Shov37gdEvWPqPuC6a9b0LfPTdz7J611m01lS3TvChj/+Ac3/zLvadH42CQLOTjPiN4PkBxkY8QuaiypSuMl/vwgHcrhaDQ4u4KsALLBsvmf1dqkiBxNCHFKzZj0k9yp1Ztaxr6tfQe3S9c9MgW9f355aUrqSPkEvZw51YWwz1lfnEu7dx85VreehHZ/nej06z98BzXL9rhI1re3nuwAQvHJ5iw0gPv3v3bm67eh1D/WW01vi+t+K+SdIgaa6WHHZtXcXqwSonzsXf9xfIBDIb1eXGIflywWxXOZ3GYwpZtZo2gKEnw5ZrNZebd/WjgX2vLXJ+qiVo0GLG2dK+U6FY+st8eoOBo+yROwEPmeuqwBWjTWplj5KjyYbUhvEbdXMdYc6JNTvMdvRmRhNLmTztxeVtNNjq2nAUDICZe5sschZVQLsmz6upsyL+bHWL7m2piB4bfTY5FumoCJ6NjiLabXLsRLtNTjY9mPdFZUweO9Ek82zPTFkVwbPZZJGcTRptMrHxZ7Mls0w2r+TCu942z93vmuGr3x7hxVMuxXI0YbWhMe6kzU7Sb2bLRYGmQrO2W7NryGWwHFeL6phL0YygCUdFO6lGO5PImaiIrpwGM5uBqLSOZFUGKnIAiZ+hcZwWutYIqy/2UHe7so6vWc/m4MpZLhkUevXswFY46EUMasFL7OS7FTtOhdgQSGVVKAdfKW8ph0y+WT78p5ViUjuo5RqUF7is7yxd5xpM028MvgZtRdeJ3mM+LTSazp3NZiSsjJ2SkW3ZhW2rNRcNaqtjlktKRf5Kdrt5eVRG1fF520aXS0dcnj+tePCww5f2waOvl9g4oHl5HOqe4qbNPndcotk5qukuhbORQaBzNKzEOZT0VlzYOaoY7tZh4GiVsbQ5M8+Qa3iTl3Vi96JM0m0IWNqERdp2hIO9psvj379/nNdOV/jdR8aYa1UFXWTbV2zLGbuKadBpng1vziEUmVHe6t4SO8ZqjPSVhJ8v+JOysOrH6ENj2mK8CTydh5MJHi3lZFmtUY6mNjyFW/LQnsP81CDNViWLMzc0ZWkulwOuv+Qkd1y3nzUDC+x7YRv3PLGb08uWvkUmc/bOKhOViGAdHv2bJ6MiYZnBoSW2rJ3mpYkRfG3sPGXCktdRH5TYsYHS81waEz0EgcIpB/S6DZzMEtOivtb0NyQ+YXtyvGrXVuQYJPWgMplWPh1HsWvrED1dFVqtZkZuCVkdAhC52Q2E5ypCwJZ1vXziPVu5ec8o333qFA88fZoz55fYuWWAf/ETl3LTlSOMrepCke0bTXidkrkqQinYMNrDmsEaJ88vhi84MvZtyNiUjxzHZCGzXcrxI6cvCRfRLxhjRhycin5jsN/ld35hA56n+eO/OxEFjmLcgTw/ki+TnzbpxzjH0Qbc9H7g4LjLH3xxNa7STC+adaSk2xmZrGc2nlwPbaFHOpsrTRKPzfE1LcgsY9LUDretbs46sXiXBfjkc5u8tHEd57WTs3xmo8WkoejehqOdDG1ysD1vR4/ML4KxEp2aeTbcEs5Keehkt+a9xGWjt8hWTfi2OkV0F/Fg47kdT2k9jaZcr9I/OUijIdc5rUSOhj5zM1HGIOm3ALH5QjyoBZqWUvzjwT5+cNpn32RV+PJGpyvpkIGHUw1/c8sdVdaxNN92xwA0+Vm1mHaNUTeGpym7dXRXPSSl3s2yWxPLTWPapcyhy/Hpr2rmWw71+MxKudTSUaCjZaqOohQdvuzjFDs0Zv34N95R1ZzVkQOllvyTh51zkMiaRTIzJepFgWtTOah6F7pnHrrOUFbLqe6KZmNMXVi7XctAbIMXyyEJzMnDzQSwKZyKq7l0taarojI7oGYCNmXgEvlyd0NZl8BnsBpw61aHaze47D3r8DdPwOeec/nwrhY/9xbN9tUBVVejdYDvBxkYb9Q5y5bVbB7yGelzOD5DyJftG1Apu4yMLcBNXcQwEruwyMk8akXiFf1CjDPAwTvfR31e4WmpS7J9jYQv6mf0jkFPwrdgTpaLvzfTofy+/uQk+08scvBEPf3GMWlfphwMZGa5HA3Kfm0r0y4wSZ5rKoMNKAUQOJxbKrPkm2NsyJe9DWmGHY+bth9j53VHcSseN47M88KZNZw5uBFtjgWyPRX6EhGdsl2gmNOa5bka3YN1NGHb8epl6tNdlgAirpjvX639lqRFazSK5akulFaosk+f6+HKciaeWDa25cBAulmKEmgN/uXS5ARmKo4M/KJlxMlyYHAdxe6tg5gbzmTJLu4jZD8ly4YvqXzKLly6qY9NYzvxA82XHzrGv/zIDm7cMwbaR+t051XbS6xOQauNvnC5apV1a7rZd2Q6mrWO7DU5z5HithHrRNqhNHct4Zh2GvsL2qgXl5NjkkrxxPA0BAG0pjyagablBcLv6EC7EjQk3z+2T2/wG0ejoeYc7XydqUV4/EiIZtmz1ReCyeEyf02ctnyZJD5Z1sSXpbkYjpnfDp7MM3HbythgWD2lDjSZ17aO1CZzky4bDab+JNwim7A1EIyy5r05GMXP2uE3Uzsai+Riyti8LoJtXq9Ep8a91oSHnbfEteEAKBdwQZWzjd1Kg9k+ZH47eXWiV8I274vs1PZc0/Lhs09VeeDlMhPzTgGtJg0FnVrsjEvnSZLQamCdhVSKQMOBmRqvzQUs+k4q97iybUZQLost1ci8ic84QqJOxqEVOMx7WTYJOvKDSrjSMUChoFXBoxTmydmhhAZFTyngA5vmede2eR491svXjvSHy+4yG9LocAMhrdnU1+S2sSXONVy+f6aXpcBJBzPpSDniN+ZPiWM4bMGAyac27jMBtmXciAdimyxjFQEEThhAlVs4OvpYxxagJ0EeRr7Bay54juiyDcgy8JHLkSXcxNnTqVOgoVbSXDzs46IzW9MXOmMiv8iRyswAap+eks/tW6scmwg4Munw0V0+e9YpWi0v2VDEnDVM0RWNHfYUOoQBa3o0F/W7PO84tDB0pwx52eRewHeoh1h/pLqxBZMpUXn4GYcvfDa+VOJfPDxIw3M4u1Syf28bw4hpMQOYuG1JXGZAbLMnJwUBisMnGpw8t0y9EUTvj9rwIGmK4cvv1WxBc0e9GuNHGxgKKPct47gav6lY9BTGmg9RXsBNhntFzYHeUiwTUI4GFViGlLhTjOGZ7VXIwKQZOK772PfQ5Vx7x37K/ct4jTJPP76dZyZGwrZgk1FhnyDatSlTpdABNGe6CAJwyj6beqCiFHXTJ8nhjDr9BJywkWScUonsMsncGMccRpWAW7jxTgq3r7vMprHe3LE+uX6mIBX1U5kXXUFApeTS012mVnXp6ykTBo06U/aN9kVFSWtNT63E2OouKmUnDByjdpeRX9yGDHVl/Q+yNhoSmi0TP0M+k3m0tzcF8pzN6VmPf/OZY2gNp881k+dZuPHYIx+ZdHWW55uYcbRdmwN8SuDm1T53v7VFxdX88XeqzCyZxOmCawnbxKGMfDPZ6hTxYksmHxJvO3pt9Nt+bbA7JZMfE5dZLtezGrhMWJ1wyOsivDYcJhzbPUZ5s67MlzBsMsi04oK6RamdzchnRXZp49d8Fjf+FgTN6LcF+AX1ipILTgVUJZzxUg4r15fNHkwebPXMZOqhnZ3Zk+dDo6XwAlOfRW2wjc4zDoEis+FE0CqsX3I079mwwGWrfO45VuP5ya6U6tgJjKvEsw2x8+jWjAHDcB5itmSebbMXMfi5BIywQE15nNIDtFQppVuRBJLalIMUXYxHwB6seLxjQ533XzeLKsGDx3uY81zD+SQ6sgTu2rjAL143y5kLFY7MVjk8WyHnINmcVq2hXDVUJOpkdmo15BO3EQnbtlxY4pIb01hSxoFJTNagPTe7ZejGDECQPBgyETKX+QpYyxxdTouTwRAt5WZxRrwqpRioaUb7AlSH9pPlM+S1yCGzv93XuAocFe7U6/v5TS7MWcw3k+L6tbJibZ+mWoLWsuFUm8eSFMnTqiOw9g3JiwkDl8wz4acFiGORhufQDCJttAti5UuQ3AsF2dZN2jvQEuXdce0At1zaxyMvzfGdH83QKnrpEuPPOI/CzrGVE22AgnLmuX7WoDWsr5TG7W6CE4B28bQbkaqs5TP6i/LPNl0e3L+e3pEJ+gaWOPTiJk6djTaSQcgrx7dNJqLtGiKen6vyj89fwcmJQfpWLbAw380TBzcws9xlgCyQcSInI0++MIjKaUA3oyPqVUBfycNNZpx1esSCGVSY9pXpi+I2AdnNUAST8UvEpO+S7Qjibx6rlYDNwx7nF0rMLIbHWqTyCi+GB6r091SId1M1z1g0VzuYqV1QKfupuD/TpN9ur+TF2Jvtpypll1UDNSolh6VELinfqd1G9Oc2azJlZWk/Uq1a2g/2PioDV2G1vWikWG6G9uUn/pSkJaZX1NOQazdtdBOnNznjaHtmNpDw+YbhgPe+Y4JKzeO/P7IxChxNwoTDsKLg0aynjXuzLmRp6yQYsyMzYUhYJl4bre3yinhpR3sRjiK4tmTisuXZypi8FsE19VkkpchBogAAIABJREFUS5MW+bxIJjYZFcGw8WfDK/GZuDvZjM1uLXQEyxA0wj9zh0crnUUyUoAXHdC+FMacqgJOLfxTTkF9G6xOtmvhIwPD1IkJR1meh6nsaH7m2gV+/vp5/v7JYf7nwzULLlt9G83RpXSMIA06gmgm19xtFI2L5saNC9x65RL7F9bwwmQt7TtlczOdXAAVn+lm5GecUsGLnE1J2NGZ8iUV8N6eKe7asZcXX7+Cz0yNcDrox1dOCiwh0GLbysQTwp9tujx2ukb30318/3gP8y0nWx6gtZgwHKDorfgsoWkFopwl2E2ckVhOTnQmp1yuGZWrtRr8fOUxNvYd5X+c+yDna6NZuIZjPujP0OXXmSyvpim/m8w4S8WOQs6JKApAbfhtszhmwCnx52hL67v4vGfgDO/Z/iIvHL2Sz06PcFoP4iknY0MKzUAN+qsx6BR3oVOkYjTZPNOps8klMXWNNfD853yz7zoOa3rC75tzOsudlWqUMXWR05do+zqGYdFl5kWChSf5Rh8YrXl8+rYJDky7/NHeYY4vVPLlY1i2QCVjO0R9Sgo/y4MlqVQeN1zaz8d/YpS5IOCh52bDWduM2PL9W9pnyLJm243xR+XNPiuGnQwtory0f8PulRsHEQZ9uYBawBO6bPolnjiyhfNLA/RUlzk+Psy5xZ7skRGFLwUw+u02MgbOzfdy76FLKDkaXzs0m46gF7terTKW/o+QdY5Olc2Ln5mzgzG8Ij4zv4IWeW32kcKmsi8wYLg34N+8e57FZcU3nu/mqaNVmq3w05I4DfZU6Kq5UXV7v9IumZtnvZH6tnxbf9UpWXendhUDPWVKrmVcCIFT+GIl6XNEtqlv2X503JfZfEdRLumLzDLZuoN9Jf7jz23AC+C/f/Mszx1YyMNTkJlhzPRB5Me6gvQGZxxNZ6XoN6Xk5JTD5x9YhevAwrIs184pbufwgugRRFmbEZp5ls4ql4qEZsLQlmft4NqSjbd29W0GloxEmIaUl5dNfybMdkZj4lDkYZswOuEwgw6TbjNIKKLRZj9F/HeSownHVq6ovkGP9sFfFMFiJz3bZNGOjrhaM/yOz58PZyCd7vA3gVkk4zjfprN2dlykd5us7TQrB/pGWqy5fJH1hwaLecvQW9DezUFIOgteM/xVRtlopspD8f0T3ZyddTkyURFjeERHfJ9Zahk9L0WBTLzDZuxgaMJjNcxvRTKDgE7LirebSsNYdZlLrjrKxdcc4K5DW/nqq9v59uQlvNbspuW4Yecf/ykNXYvUggaNUpcBUyXL3RZaDl9+rZ/vnO5ltumy5FmOD/GWkkdfO9LPU2e7WPQcTi1WDLmKJHdy1TpUbKmSLxelW9VZ7rrm85Qu3scvPeTwJxO/nC0Qy9NRrK2f5/f3/GfWDZzhgX0/y98u3YXntqElpgGFAyjXD9XX6MZHfHNZFAzaApUiHIbD1TFpGOqqc/GVr7H5LUe589Bm7jmwg/smtvJas4dm9KUTQG9F0xPtI7Kipao58rJv/eODs82kEscl5COuU/TNkHT23kwg6TgwUINSpvspkLPNaXujdaRyct2cBZ7sR6JnlVLA2LZ5Fk5U6HKH8nUKXngk+HPDRZsAwKRFOqUKHj84h/dVzTMvL+D5ur2NvhF5pZFdtp/sCFsVy1SisUMROLJ8ylT3yuw/OQpokuM4LMdcCCKSn5IbMNK9xPDoHKWyz+REL5NT/dR9h2TFRkxDAC2vRMuk+g33FyvQh3iUWzlSBK+wLxIo2758WFlyHdi02WPV5U323NBg/5M1Pr+3mwMnK8wuKbSGrppLtexm+oOicxyLkuw/bH1TCMTBUQqFwnEdHMexwpW7Sf84yXUUXdUSrvlJhZy9fcMythh1UR9VmEQZSYt4GVQpK7Zc2oPf0vTXXGvV3AsiSV7yIqRz+jFnHDuXP3re5S8eCpdz1TML3Ds53u0EKxk3hLAiepXxW1TP/LXRZ3vWCa+tjA1vfG0GT0X0mUnKSMIyaSoKhIpotfFuPjevO+nLpM8GYyVyNeHYnnfSuw32G8QdLIO/FAZ0CfxOddvlm/Xb2Hc8s6kq4PYaAWQsgyQ6wi4XE3c7/ouCR7NuFo7na+5/YoCjr/Vx5LxDZxxtdKFU6Exk3gRHz/HI0RmDcxR+APef6OcBBc14F3e5wYW1443wxcsN5TdsEOaFm8SRLmdRWdGbTlfMWuwnOBqnv07vW17m7p2H+PCrl/H51zfzxOntvNrswfdqOAu9BH1z0FWn6i1D2Qho5NtRpVj0HBa9eFAxAr7mAsRn9GnNdLPEdFPOqEZ/ZqAoGVcqmm2UsspeT5ZazC/W6JsZ5qg3bDjt0W8kz4HWEpUNh1BrTlE9dYzSoo/12Hr5MiDitwufoCv8XtNrjNFSlRR25uiWmHxNGtQLuJmAQolBVvBs49U22xTp1R1Yov/qV/nZS4/yvgM7+MfXN/P46e280uoFx6VSgorroHWe2/Rg7eL+w1xaqlRx+1KiTmZ2KAMPfpwlYHFylKKrrLH6iYVv98naRzv5m88lXMtZqLnlsZqc7s4vlfi9r61lpumG3zgWzVTb7MDkI3xA1nGTfIs2ED+LNzYBHnhimod/NEOzpfF921gZ3Wf6P4t8i+Rl8mP2EZnrmBcLDyr81b6TFHXQKJ3pAFNek1s7Lh13PhJvcg25GVygWvG4cccxfvptz9N/6QVUKaA+2csTj+7iuy9dwomZ/sikon7AMWSvYtkKmSqLnDvJOL4W4nLKfiKfmWYJTzt5eDkHX+fxmymzuYlNt6R52YpZcI6mVNMMbvK4Ye0iu65t8PgrNR75QTdPnqhQclQu2DNnEYv6CrMfaTR99h+dYGq+FX4zmRGn4uWjM0zNL/PYC+c4e36JwBjHHUexcbSbSzYM4Dp2HO1oyPSTgFsSL86SNpDh1C5X6VJZfakCG5KVjdu0nrBvx15nes7jP3/yBAFw4NSSQZDUrwHP7HNWEIC/iXMcJdFtBBBdr+nTXLXRRyl49ECJpWY7WCpTtxi+MvLMZGkUmbqGQK2Bhq1szjrawJADgXlfVKcTj51kbyYTj0mDpK8Ifjt8neTWCV8RjUX8vBH47fgz8ReVt9Fg4zcuq8Jg0V8gihgK+LHRXsSzaas2PgrudQu8aVAuuP0igGwn6zcq+zgV6ddWN0x+oHj5lMvBsy7ZT6vMsqY9WmjRBXW0DmccZWdukOqogCuGGox2ebw0U+PkfDnKMwZ9U07W2Yb4VyXwS27A7991D/HeeTlHyVj64irNZdU56G6glA4Hit4m/W95gV/bdoQ7xl/mmWeuZf+EgzPfh+6fx+laoObXs7JI3qQLh8N80ynp9pfydGV4jP4y3yha7KHclZWfkV7wt/DnB36T/pNTPDe5C8o22sJ0smsNX3vuF1ntXmDfzM003WquTEb3OrxXWrPWCdDVZRylKO05y7++/AGW3S4rTW1nVzqVs84Q5cspNDu7pqB7OXzgaOhrMHj1Pn55+1FuP/MKLz1/DX95ditKldoOccp8oRGhtG1is7gMX3/Z5ey8k/sU1HEUz59xODev+PtnXR46rAl06hAqwlnCPWM+b98KJZU9GqQo2TbJiO9dR/osOv21BtsGk3LYsZWTTr828mQfENuM2LE0teUsDQsth28e7yfQipa566A12DLybHzE/YMy88R1EvCm7euyi7u4eG0Xh0/VeeX1JfygYNzX2L9FlHBjAmx2b8rO5FUJ+mN5JWIJ5a8DRWu2hvYdcDRV1w97wCLdZVgw8uNZllz/JYlNk+v6XLv+LD/93idZs+08yg3LVAYbvGPNE6yu+fz1o1cx1SqTC4ITHMZ4YZJpft8mAmelFKVSODvm+4S7V0fJUVDub4LSuFXFlpsX+N0rJvG0y/8fUnc1oH9j2M6VAreqGbjY410bF3jbZQ2efLGL6clVxJ/bvJnzE+M6juMwPbfEf/3cyxw/t0i17OTesTSaPr6n+cy3jlJ2VMY0g0CztOzz4Vs38q8/vouemkMQBB3pKdx5mhCmjseSzA6o2NuFaSehUNq3ebOuiSPnkmnyy9vFvYZ6I+CBH00D0GpZfExlXpv0F4/DZvpnPI7DfB4SeNk6jz/8pTOUqi0++LsXR4GjLJt3KI3Rgawkc603hzMveRs+jGdvlM8Yn5mUkWfSVoTPBlPWMZ+Z17Z7CT8zkhrlTT466dYGq6iMjdYiw7TltwtWbPS2w2eD005mnXAJmP5SuCQ1M7tVRLdpIyaNRWWLbKVDQ9d+FECWodQf/na085UEbza6CuRj0UHZ1dx+eYsbt7f40ZEy974Q01VEWxualEq3Eo/vIexctensRh1n1LmXXfj4ZdPcsmeRP/nuCKcPDYQOdlwmruNQ7CwkDqjKOGb1uR7mj63hup5zrDQppal1L0O0zFKp8Ls3XIXqXWTzyGkG11WZOTeMM9ePt/4Mum+OvsAIkDXkBjDTaYzpXp6LI480OMzNymhjlk5TK2lGu1t4gcO5pRJeoNJdZmO5GW8yW06Z5/0dMKvToDEzE5TWWSp189DkB3BUgEc5dMBimizl4xnFWqvBDYOncRyN9hWqd4lrvQmSGeL/D5JSUOupo53opZIOdasdjduzxOax06w6V+H+8UG8YDRzmHjHN/mBLvC/FQtNzaeerTDfUIz0iCNpIqIUsHMk4PCEy6EJgQfwAsXJWcX7dsANWx3KKtwMYyXOonTMJP1NP3L+5Kxv7LzHLzoci13EZYOsrq0vRpJypHYs24PtWTLjSAb36prHr++a4vyiy1deH+B8o5ytYwaIRUFw7IyCvb4Z4MZfNiTBkeKnbx7hZz64hk994xyHTp7ET5ZIYNCR/MviR8i1zUuOJMUBW1JGlJP9o8yKgnKtoXGhG91yUOWANV2aLgUzGX4lTQKmOfPhKGOzF5EnX75FdXtLLa655iCrt14AJ13GqJSiPLDMnnc/x5rDG5l6fTStZ9IicWks8pJyS8cm13G48tJufuX2i3hlfJ5/ePA8U7OthE6lNJXhJZQDSiuGV8Gq3iYK14D146Z2vmJx+VJJU+4O+6iMWZagf53P1csNDh+po/0WUMU2c5dLKmrzUb6Kx2AUfqCYnFvmg7ds4ANv34Q2N+hSYXkt2w+gHJieb/H39x1hfsnLDc1vJgWBpt7wCfyo7zBncGWfIZ/FKW6rSX8i8hWiLUUPYrMD0iN5DJ3Fthe3jfjzFGmPwEBvmV9+3yiB1tzz5BSHjzVSmCqCF5tB4ifplKf4Bc3/ezOOccpJDNHTATBXV5x6rUqlVKLpy7LZcsWwbHnKKNeJXkP5HYMvmfIdg/3XRl+n+0502FqCMq5NGXbqLGz8mMmuyzzuTnBkvixj04WN1iIZFOmsSFe2MkXlTPgdcAVN8OcgWVJWpBPz3sarLGPSV1RO01n20bVuQWsSnB4o9bUpL+uZeivSma3dFOk5LO86cOPuWf73D1/gU1/ZyL0vVASsTrZs0KXJ7jeUmXmIOp7MMpi009Uazs5VOHncZ37JjVZrxh2uiupp+35GyZtw8h2uUnzy7JV86r7dqSOSnMtm0VkEv6Y8fmvVUT78k9+EwfmwaKuEN9HHwSPreejATr4ytZPN3ji3za+hSx+gNDTNRtXkZR1vYWDpO22zMb4GvwlenYxDndSBrIObwnJduH5kiT++/QLnFkr84Q9Ws39hKHUQ4kC06E2mdJS1uDfq+Lj4chMi3Q5WqK8eb5HKpufRBLhzQ/zdve/j642P4DlyhkHKp13/I34TGQjbtjnrMSgR4Ja0z2+O7eNnP/Bt1EA9fN508Sf6OHjkIr53YCdfndnOguribS2PRivIvxEvGNS1UuFyN6ecllHhGYQ+PiVH84mrfe6+JkApOwxbmm04/N+PurjCZlZ6RpoMMGMe/ECzsAyePJ9QkdW9bdMTGUzagjJtXMSBpnycC9ZIy0I2iE0ZYbDq87/eOcmB41UePtMbBo6dbNlKZ9z2LG3C9nLH0SQbaERyOj21zOGDS5w/v0x4vqBRt8hxz7UZYceSToEr0UVmyIkybasRMryFv/XJAQLPpVT1WDUwTVepCc1qGzotsonxm3u+WWd9wt9hN2Csv4lTDjL5OvpfHl5gbHiWQ8dHo+WRqTxcV1EuObS8IFwJY/aB1pcCqY67qg7v3TPEe+4Y4OrzNR57dZapOS+pUyr5dK2dB6WpXyjz5a+s4f69Y3ieawTpK0w29wfIzpaJ60KXK3xw0SqPT/3GJKN7GmE79mF5zuH0iRJ7n+3iy092U+qqcMvNAWuG7bs1Z/ssmJxtcODYPEEQZOxJKcXZC4s0m5qNa3vZs20NQRC/fG+flFJcmFlmzeApMPq0N/u9o+cHzC02aSX9dvQvdrOU8cyckZR5cXs39ZC8MImSkwEsOYzyJW6V4kiKhde9PQ6f+MAIrSbsO7LI4RMNstG0SuWULMs2bFmtzPbexDeOpnUKoizPD4y7/P6XR1BKM7NkfthgI1BatW0wt+E24dmcgXZ0F+EpciTMPPN5Ycvs8LxTucyoZHkmn3dqOGY9W35ROVs9mzy0cW/SVqQfm4w7XZswTRpMXpSlnI3GAn3qAPzZ8HvCjrhk6vRspXZalC9hFPARLEKzDqUBsXxV1ivipZ2N2+iT7dikJfzGcf+BHr55P/zoaNlOa64N2PQb/UrnJU6BDnWlyR6BIZyBZuDwxUMD3Husj3NLJbGsSA4eafkEFhAGpSqaHVDG93/RT865MkSS0BXC0DKv5cK5QfYfGeOJYzu459wmzjJIoBSn9SAvLKzjhkBR65vl6sHjfK+5jWWnmg4yMb2xjuI38/G1o6AxR84Zsl1rwYBSlJRmqOpTqgZ0+R5DFR+n1IVvc3x0Xi6prlS2fM5ZVVkahNOvFAxUfPrLPpPLLou+Cyi6/SX02OnQ/54cYmF5FF85kSjyvOT6X5NnFRGc0CVkI+1QvomOccUgVZqjI72+cnQdT76+nW9e2MwZBvC1QmnNwrISm8lJUagIrUYR2oofKF6bVHznkANaZcxfKcX0kmJh2aGn4jPUBcl3rCtKDhW3cPuOjsncnCcINNP18BiedJYoLkzWDuSsky2wkrZs6tFmv7KO7UicQJSLCdIw3yrxzSeGODFXYqZpHF9jprhfkfxoIz9Ho9HHSfxGuX/64QSPvjjDxIxHq2U5l9QGL0ucUUZlabaVi+WaC+os/b2gIwg0x+b6aXgl+kt1qkNLVPsaqHqfaCZmXx6Dk7jkuGvq2cImEB16gQ5INxlPaqlw2bHnRnSkNLuuw8UXVbn64j4Oj9d58dAiLY+8jIv4R7PcCnjq0CKbnplmfHyZ8YmWkLGmX7Xo6WoA4C+VmZrpxQucsH/IBLHQVpdxVnxEiimLIJZdynlST46ZUvY6HYq0VjTnHMaPlHnshRqPvVjj+VMVGk3F6sFl5pZahN9OZ/sTc4fTctnh6f0X+D+mnsmd+6gU1Jd9xqfCb/J838P3vcIgNH4Ww/Z9n0DrzDuilSybtQWWSilaXsDkbINmy/jUKLNbbgIlKmLxReLxwuazJWOK1LV4ZuvD4rHSCjfMW1zyue+RSbxAc2ayKWBKkqWgBKhMm++cfoxvHIuu84j9eBlNRlmyo1Adnks8RgdjdS5lHfO3HW6zA7N0aIXwimDF11iuzdSpXBE97eiy1SmCZcsHm04LG0Whi9FOH7J+EQ3mfRGcdjBtdmWWayeP6NdfjJalZk5TboPLRqspf5utm/CKZG7Dh3Fv8hotX3W6wgAyB8eGu1MZWbaTbYUO7/0v1Xj4QI1Gqx2tNr5MnBgDO6TLjwSI2EmIlz5pUEqH+9gEoDPOP2nZePYs7tyTMgFJwJh07DplQ9ISDxLxtbERgHSGgqBMcKGfiad385nj63hqYSMnvT5a8XcwDjScMguLo6hGF7q8THX4VbpPXx8GjpA6x4HOvsmWznhjBrSP3TEiLZchM7xf9hXPXujiU08N0mg5HJztJoi/QczIUMhdOqPmkkQzsJTPzVmISKYVR/NL22e5c0PAFw9X+MLRXvwAhpsNnDXjaDSNmS3MtDahS8YgatpTYk6GXswgRAYqZsBtDbbT5zpQBBf6mHxtO585PsZT85s44feJHVXDGfCZOkzX0y3wzbMUk+8Flaa7Ai+NO/ynh2I5S11By3eZiD5fDd/42wNHm5MWBAE6fyJ4R+es6I2/H2jOzStacvVR7oVLgX0k7cmQedznJKqxwEoJT6vIexlIxs8jWBcaLr/71Go87bDQUnm96ghgZtmtoYeEVwtuMyjL0Jf8gyjg8f2wr1Lo8KVUbo2eCSemR9q/0VeaZROx5m04zLPbd+ZaK44HZRbna/Svnqc8VGf1qgXU+VWGTaXl06V1UiYpgb09LqsHy5yf8lhq+PmhMqpzIShzbKqPrS0Xt+pHWal9N073Mz45kMouet7X7fDR60b52AfW8MKRuf+HvfeOtuM4Dzx/1X3Dyw8vIAMECJIAwZxJkCIlkpK4ypJt2dZYctDMsT0+Httz1sezu+P16uyOZ2e9HsseT7CscbZkRSqQIilTzKQIMAAEkXPGw8v5vhu6u/aPDrf66+p7H+gw+4frnPdud/VXX6qvqr6vqruKX/38SSZnvPT5e1Y9x/aiaHiaF/fNsu/0IrWGz+yCn9L7VT1zDJVroBX1yS4q011hk1RCjzEN60RFRC/ZOCm2Y6w7bmbKSf7j6+inXlGM7S3y3OudPH2gk6MXiyzUmt8fzi02uDC+yJ3Xq/A4MEsKgoD+rgIfu38jlyaW7AeQKZhfrHPy4nwkZvoNi1ZHb4SfcNi9pXbJHowqKlWf0akqDc9vYtYqrePExZFtXInfnOvYR0jZvQXe1t6seMP72UWf//drFwFYqET8p/obg27e+J7nson0d/zG0ebgpdN163z+7UcWKRXgZ/64l7H5nG13c+mZyXRKbXRtzrUNr3TaZdlWPKVqoU1Z6czbykoctnKSlvlrS1IPNjltfLeSvxUfcZ1oC1ycbGVbyWHjMw++lR2Y9CXPJl+tYKM87YE3S3OnVFtHIWnn6c1WPxI2MyrmlDPx2erSBhvhC5ag4UNxIPssQzt+Lmnl2bktNfl3lOaqlQHb1gQcHXXYe87WtyzTBpQKB0w/losoaAqaTkjs1MVOZtQZF13NT22d4851Df54Xx/Pnu+KwAw+NM0gLFGDis6HLBtOZ1TGDBjN181SAVqMPqYR8ugpxeOznbz5+HvY629gLOjGN5erIljfKVAZu4pgZgWsvkTv6rOsOrvEdFkMODZdATSWwK+m8/IGq+R7sTSqs4tF/uTQIAB+sY8k/rEFFqZzJIOz2BnQmtX1aa7mCJecdZxyN+ArsamQ4VR2FgIe2VrhjptmGaWPr5/qxvXqPLR6LwM9M2i/wP6pIY4HfWhzF8BUIChkFTRS9qaxz+7LlAluQKN4emI1Bx97L3v9jYzqqF5NBxzAUczXFWdnHQIC0DrlLJnMrOpq8At3wUTFt1e1o5ipaP7k9WLimOWNje3OR2uVt1yYmari/BzhZyup4M6GJIM0C2NzqnOdogg2dayOQSsHV6cb8K41VebrDq+PdzDnNZ+l+NeW/BQPJnxUIO5nRL1m+Ii6lp98aJhP3rGWL710if/+1EXqjRzdSVxW2aTMFhiT71RWTn+R5IUMV7wis0dWsvbKcQp9Na4szfEqlrf+43aVcpzTIOWSw488MMzH7lrJswem+dPHL7FUTWb/UvxUGwUOv3Izt6wfZ/ims6hS+PpjECiqk9387Q9uYmSsP00jCE2j4gXhzp1147F0W22TE8ZvrR5wyVz1SUTSDG6YpqOvivYV58YGubTY0xwfrOo36GiV5SWlswjmnSYNsxWHLzzew9kFlyMXStQ81ZxrilB7XsC+EzN8/D1GUWMlML4f7Cvyi5/YZvcUNLiuw5mROQ6enKXRCKjWdTTURDjQ1us41TyNF2iKoj0vd8MecyLOcRTjUzXOjy2GR92kksXHazcG5BIVKG1ujc1lTK5N2yPpe8pFhx3X9eJrzZ6ji4xONQ+WQZF/9mmrNyhy0mW+qpqXLEqNUkcBOoYqFEoBriO/q7Ixm+ewyjw5ALYKKKTT2UpJ0mnN1FobPDYrsAUPeU5wHq/trMpmhWbecqy8la7zcObxqiwwiLJawEgZbfWcl2z8YLm3lcECI3TsV8JvGS8roG1FT/6aaTn2kddOTN1KXDZYFW6YYw36lkPH9sxM+bZXcOFjd1X4pUcW+KMnV7D3XLzjpaRh2lILnKlZW02ySmiuBCZq1ckArLSmv9NjeNUSXaWuELsZJCYqF06a1uHZmUVjIIlnzM2Vskxnb/Ce6sjDSx+X/f4a3g7WpqVU0b8I1nMKvD2/jR2z61i1boTNq89za+cFTug1zR1cYxoyqgh8qEcb4sSEYx0l9xYnLmNOinCMVVDosujLhsNwMBO2Qtiexjyf6nye9+z4S46cvJXfO/kvudSxkoxzHV1XPIdvHOlkxgv4zpE+6r5Df6NC19UHoLOCU+libuoKKk7Z/nqimRJTEzA2GVIqyBmARb6vFQeD1ezz10YrRYKGEcTWPMXxSQfP1xTN4FM4RL0lnwevckDZVxEdx2Fk1udrbxeYriouzLsoywqiLSlgpuawWFcUxWa2l7PdfYqX+QIjcw6BVmk7aBbMYUYZbUToONVdaqtdpegoskfttJjdX9Xp8dvvn+TYpQK/8cJK5mbNiQyVthmzb5ITAibPMSN5LpDZfgyZejtdetZCZ290bEpbp89i73krotbJEsFjhp7GGvxGxev1Asf3bWDb+w9S6Klx24YJHj3ksVAT57xaZUnzXC653H5jD+9+dy+BB3/zgzGWasZbP4a+fN/h5ekeit++mzsu9XHVhikct8H0XD+7927iuf1bWWoY57oCOIqFSsA3Xx3lxNgip0erzMz57XWc2KBoy5ZgsFyJ7ZyzAAAgAElEQVTwWHnFBIWeOn7NZXS6h+nATYtr03H8MPOdZ/pxtm5k/aX5ycoCC0uKJw934nmi3zPsRQNvHZ2mUmnQUc7uZGoGkaVifn/jOA7lokugNc+8McLUgpf7toKFVSpVj71Hp7n12oH0M6Xa4sl+i6k4O7bI2HS12WxtbpTZj2jdfFUYE9YoYB0HLWNKnqskXZ/Us2YftKLP5Tf/2UYavuY3/+wMo5ONNLxjCJJqZq0Mwp4uc8WxndOskJIdHXX4/a8P4SqYXWrZSwo6eQ6jWc5O034v8eV0UJk8G81MjyvkuBzceRZh0pTwrWjY6kjS0DnwtrptJ0eeHUiY+Ho5fC+HR4kjr07M8rmtz0InDgZ0+EqnrrXhVdoAOfB5Mpo8SxzyPo+ODd5mk0Z5txdUIQdXK1sCe73b7EHypZKnY/MOB0ZdS9/QTmY5kkXPkw03InyuI1AYg3oUXDYCxbeP9bHzfDf7psthvJhaPTTJRuXjwNKvk9hJjDOGaTcAaprwxiy9DjS+2VaUqcuIHxV+y3bO7WHhwmZWX7MHPXyOgf49FCdvwiu4+XwEASxNNnGmVJ832Bn50hnVOjyCw7byYwsO0goI8UXPC/isWnESvekUztIgHceqKK2N70R1Cm89UHzl6AqeONXHVM0h0Jpr1BzXDF6AokcwMcjk7M1U3Y7swG9eS0fatuKTXFscSdukgiVw8HDtfKSceU3Dh2PjiumKZk2vg+/7yNe4wmI63Dk2WhLIBHNao9BUPcX3DhU4Or48pyxmr+7BvkuK92zxo2pvOoSXswGFUooAODmlmKxE35pKB0bwvXyHRpPd7di4kAFY0tYszp2FrhfAhTmf8UqBRt7noaYucvkW+sprGzLwMER5fOc0B09VOXqhgufltFFTHgUZJdvsz3yYGb4MPjNFojy5+2qE2/cd3pxZySPzHRT7q/RcOc6qvnkWxoeyNJL+Slk3ianWNM/smsFR8OqeeRaW/HRZcd1ouDw7spZ9Twywqa+C69aZnFvBuVqRSqNozJk1O/jADzh3scalsTqeH80d5vUXNp3Ke2FTKzuWuH7lODgBjbluJs8MUamX0jIkw2ecZ6HZysSS8ir/7YikvrK4NAqvEefbfMGQtSNn5zhzaYHtV64IX4E3xTf6B/PX9ip8R8llx42rGJ1a4sS5mVyvxiquhvWrOtm+qQ/XUS1p5eMIv7+uNwIOnppicsbw9fKGLbN/kcF8nB/DWSYQ0njsOk67zeZzlYaJboMAzk7X8X1NTb6JkLJ1ieNy+towvYPNceKU11LScOPzDi8cCWd2lhrKeJ5o1UJHJhtulQObhyMvSX4kbimzCd/KuZd8t4Iz+ZDweTyacJJXm5Mv4Vo55TZ+bHrIS3n0zWdSx1o8lzzb6NrsSNKWv3n8yTwF2oPGFOH7j630I+Vrl2x2koevlZ7awZpwFltwOsDttuA3y0p8Nts3cKZ+bTpr/jZ8xbd3dfHi/k6mjSMEszLZUo6eza36IRw8NcZ3iiZs9KMU+6c7ODQTbpTTZF8bOGOyEX7ziAqvCm65yVMcRMRwcZAZB5zGDHcUpUb0VDO/VeCpmzTmi32MH/sQV977JKp7nh3DF3h6fI7jqjPzSl6363NFn8fs7DSjSoevSSZmbzpfkPUmdMohzAw0xZ40XCopw2TEcwE6V+zjL0Y+yvY/uZbzaphLHSvTr5ha0lzDZa4RblpSwGfD0D5WbDxEAEyMbOD1pTV4PUWLHk2ZLXyn8mK7IlvGVtY2ELfEb+ILj8E4MelwfNJlXX+4CUQIknaIlFKp2X7bURldRc3P3dFgYlHRRpXZpOG6VXDTWp+i+JiplWMmN7dwHIdKw2H3+XBznBBIyt1Cn8t1bmR522uptoDNWg/h7+hSkV99aj1V3+HiYnS+pvnaV24flWGuRZbR76aCUANIw8GTixw7t0S9ESBPLWiZdAv7NWkqQyYzT/ZFsm3YdKwUWivG6t3MHl7N8N1n6LlykutKVU4mw0jcrxhlYxs1HW6lqDcCvr9zmlfenqNS9anXLf2jDPo9hxG/m0tLnZEY0Xd6eTomDD7qHtm03P4i7j8z/apmaPUca6+ZQCmYGuvhrZFhtPVbxKwsVhdRiQfmc8eAkf27+Sx1zImJN3UheNSMTy+xc/842zb1WyeSZP9gfqNt/g70lfiNn76ZRub10OWnzpKibLxkczmv08cTcpPzNd48PMli1aj8RLU5Ok4hNK5Tbk9UVrp47XRs0k31aaTbSAQ7Ndvg337xNGi4NFVP7/ieSYKZlrDZ9A6+ccx7JrUS3m9d4/PJeyu4TsDnH+9jpiI7W+mYymRz8vM67KSXEXkSRvLeDoeEt/GS99wGI+Gs1iT4McvYdLicvDhf0spz9NvxL+9zW0YOXCtebfpppa+8emtntzl5/pLxaqqJP6/3lrJjgW3laCyX71Y0bDDZNhlmF6AwQFan7erPzM+TL4+37H3DV1QbRJtltLLHVrYP6dUt0oOuDFRSIisKruYTV86yfWWNx4738eZ4VzgI5s0qm4GV1uBVwrMLZUoFmQJRzId5JIEs18ww8KimmWuouWUeWxzm1pENlK4+TP8Nz7H52IOc0CvRyklwdbkBH988z7++/QRvXXD5nZ0rODrXkfPqpqEgRToYj+mb+0IVOsHJ2W3SrBfpXJp6jZw5X7kcKV3Ncf9KAschcMRrgYnuLLamFH3ePDeseA1vcBxVLzJ5+F7OlofSvGuyDnRK9riNCBq2lSst4KSDnedoms6EeT5onK9gvKJ45TTcszHAdRyr02U7J9EM2gC6S/DZuxWWj6MSFpVqHVHqgPB7XtHG4w0qMvAieNXA2Wl4a8ShJo+6TemFSC8WXWd0J4KdeLXKvI/t21FpvHnJUl8BUPUd6vFB7nmbOmHIlcqI5TSfxX2CZUyx8hcW/PADQ9x3Sz/PvTHLUy9PNZ3thA8DlzZomEGeYC0Fl9GFFjZutI3UiljTbhMZouczM10c2b+VwdvPURqocvv2Y7wwNcR8pZyPN75WpHRcq2tqtQZZ2xDtLpm8C6818mD5HB3LOrGsBLpOwNquCgNrZvArRU5ODFKtG0e0KKHjiHDR9bnnylMUByv4vmL67BAnKwOGjuMCFvvXol4NlrNjoSFCci9t1JAr9ZqlYUdJeQO/biKpVH2eef0iH37XRgb7LBNzy0haa1xHMdDjJPdm3xbTWs6+zlpraQXRZlL5MywxnSCAAycm2X10KlKvRcdKR5sk6aZOzclosw0l9S76rgRhCx2nyEdwsv6aAiTjkNZh+wDCSaXks5kYh4HPNBAVyWT2vW3SO1hxzPs1O4Cmka8fCPjkQxMUyg2++HSvEThKnJJWjEvSkmVkx5uHV97brpdTzsyXeGx488rnJTGIZPBKOVuVy5PHVt52b8u3ySPrPu/aYrRWnLY6tfHTokHm8i95tujNmws3jWlbt/LaJnuePlo9a1VfeXgkzTZ2V1jRgh+Z2tVbK3kQz5r5RUfx8R3zfPxd8zz18iD/9QdlAW+z1RweUwOe2dFqwaIxEGtAaQpo7tuwyHtvWeTgTAe7J7pIdldNBm+wy6nAr4VOtVPIwpirj/G9FCclkgUudR6d0dlHuM91rOX4mw9x/ZXHCYbHeHD1q+y6eAfzhd6ErutoevQsdFRYP1igq9BPuGdn7KhExJKAyKCfWoWQ+lZQ6m3yJOvDLJ/ntIvBUysHr+Dk8AAZ04jLBpoN6jS33fwinhOgL63j2fF7qPR0G3oVSIxALZExxb+hE5NWLjO2foW0TjOBEGn6EU+VOrx6xuHCrS6b+puHmJtJBo+2HQmVInql2p68QFEN3Db+gsYWeCqlWKjp5uZNGdrhbyNw2HNRcXTcydqDqP9ED3FeJjhT2ZVEbeTbykgaGdoZwRK41Z0Nfv/DFzg7VuJ3d63kzGLJbhcmHVMMa7csZE2eqSwvMYyCe67u5dPvX8X8vM/Tr07T8ANSwXKCK2fsTOQyWMhrk6ljBlrgSgQVckXPq57DnukubhnppXvDLBvuPMv1e65lV3V1FNNrujtqdDt1pupd1BuRW5qn47ifT9WvqTdtl9OUDUt+0ucbD5MxpcnH5p45PvuRV7n67hPUJrv42lce4MnjW/B9J4vYoD/UV+Geu0+i3IDGXJnd+zfheckhwFbdZX7ja6tcwnZaVJ3VbpWJU1nKq9RPoDUHTs2y99g0D96+2krM7JPyjsAwn8lflOLUhTl++PYYs5VGtFqcI5MlOQpGZ2qMTldz+VJKMVfxefbNS0zMVJv1n9GxSttGxJ91xTZ+lmpHBh4TXyxTK7p5t8akxkB/gX/3S5vwPc1//foIbxxayMLFfUOmj4hlyxmjRXqHu6q2ch5JXZ+bdPjr7w/jOjo6lyrVY4lfab02C8nrrFo5vbZriV/SzNSoKGfymufk5slnSxKfjXeTbjvebfdmnixr0miVn4fTMnBYdWirqzy95Mmqyeo9r55NGHltKdeYorlrqsRno2vj2eTTxrMtmbpqR7NVw85rOwZtt5/sd42t6Jr5bfSXa6NZPpWj2bSyyru2zXDwYB9QTp5l7cbWxgwapjMhizoFwHz9JCoTOZ5eAC+c6WFksciRiXL4Bqs5QKSCR9J5carPQ+egxQnWTZoxb65KHQwf8h3RMzv0zOqVQddYfZwv9fLc2O3cNLIWb/05rrnvSa76i4/xdv92guj9k4XFRZ48pfD9QUYrBU7MldCmbpOVA7JVFwfZbqxbHelOh6uNrtvMN2f/U7Oxqsm7xnD6pcMU/QZmWTtoitdAUww8fnb9Y/hrRlF+AXXoFnaVriB1xIrNIbOtYEk4MxDJXbUyaYjntpUpc6dCU6+RnQQoDo677DobsO56h4JqvoYqnbC8887abWDjugUOjWm++JrLTM0huJzXHyNR56pwZjoUQpps/P3Q2LzipVMuU+bEcWwDSf1ero5NRkSZqG1khxpZ3rg3uxQDV0dBc8/6Kn1BQGfBgE92GrbwmaKts3zY7F5D1slMp5cPztEoaXYenMMLIti8jTjyXBdbF57RtwHYypG0DQNJ+w/LBoHDkdNrOHF4HTeun6N//Qw3Xneefa8PUKmV2LZ+nE996FV6Vs5xcs9mvvrcrYxX4p1GRX3ZVke1YCLRo4X3zDAi26Xoe2Na8YqMUrxnYI5tDxzB7fAo9lW575ZjPHf+ChYXS1mdxN27o/nwxlN0rZ9BaVg8M8Bzpzc1+cnwKfhKbNPMl/2rpXyubRjjWTLmSFiMsU9ldKe15vzoIk+/foFbtw2xosfF9qp8U7UqKZfXL8kJMKUcDp6a5fNfPUSt4dFVKpJdV2yRFOgAujsLDPaWm12OETQGKA6enuaZ1y5Gq5OWuohwWduC07SNzIptYqsWf0rqGOM3JEziE0ibNic8I/5KBcWNm7rxPE1fpxOhsYxtaJKjbzQGHtKwLdJlnuNoIjSVIYzOUNLxMZc/fDL8/qX5jaPEp8SvtTfK4aMVvOTLhM/DbcMhy0k5pNw2vqTcFucig8MmlzC+5NpGO1sfdp7z8Nr4y6tDGz3Ju6Rt4pD0bPxqWtd9Hg958Ma9BrxJ0kGj1K/kP6++bXzllbXJbj7P6XSsnafUgUkrync6wO0Qz2V5mWRenu3aythsPeTH8xWPvjLAwZO9HLtk64pkHyN5EZ0w0AxqaAZnjhvufpqTPK147Gw/ztmAeqCyZ7plxDdkiV819Wvh8RbFzrBc/A2UOVDHg0sc9KW+nYz+xZ13TMfc3CBjJjqp2iPFG6geeJji6i9THJzkM7d8lf/z6K8zW+qH6izaX+JsvcifHRpM4s6mmciB0iKvGQQmcCpcbdQCLnHajYExpTvRHqSzawaX8hWtPF4VXF8/zJr7v4dGUxhZyxdOPcR80bIaKpNtVt9MgVEBSjXrXMocD8Amr+aqiZQzxYMpU1Pm8Xl46rDizo0Om/ub3xjKHQxbBY0y2DSdJsdxuLQAjx0usrHfZ00v1pWBVqlcgHs2+lwzHFBQTR5jup52ee2cwyunFY1A1p8W9tVCx/E1EZw2rk0dk6NjE1feiqSlXscWC/yrb61ltu4ysmT0U9K2U28DmHmxXRhEbF2+iv7F7SY5G7DJ61M7p/nBGzM0PB1ujtMsKPRjZKcC6ug+szoldJyxV0vbE6TTmWn4iVoHR4+vZ+utZygPLnHj9ee56tDVHG+4/PPrT3HlPcdxHM2avkVGTq/k0YPb0KmVVINPywqP44avkGqt8QMnLCsn+zI6wagrndWBLBhlna6XqM100jG8iPYUMxM9+L7Qu9ap3TY3DMxx40NHcLsa+NUCP3jxBhaqHfl9jtR/MhQa9yJwyH77FhlZMoS2sRNTWcnxT4KHSFUxjqW6x3NvXOSh29fwvrvWo7VvDRDlCp+Z7K+nNkn6WuP5Af/6x6/jgdvWo3POoW2VlFIM9BYpuM2GF9ObXajz+ItnOT2ySFpfTTmbgZ1UldG+zfoxx4I8f9iqY/E84cOASR2r0SwzPevzuT87Q6A1h84bH5LHttLURhjsxvYpZWo1VkbpMgPH3FaYZSz6Xd0XcNcWD0fBU/uLVJJVxxgu441Y8nN72Rb3eTzaKlG2iLwkZdTLeCb5ynF8U7zYytr4B7sMSsDaypnJRjsPptV1uzqTMJbGlCkvR3Tb8+XUo4Q3dKx9aEzS3ATHTDbdyJ5F3ttkWg6szVZseGT7sdm4pbwqQKHfAt8q2exRlsuhl+HNxBkeBn7sksv5KYdqvZUNmNet+I06QnmYslMIO2HzkPGEhMZxFLcOLbGuy2PPRJlTC2UjWFBkZm3NZEZg9blwk5zE8RJ822Z8Yz414ogAMVChm1WRCszC61F6+c6FG/jJkfU0Np5m+IZXuO3MI7xQ2U6gm0GzHx9kbVW3cBzNZL4WGD8r9pDy4GLeTOfb1hYzTpGB2ww8zWda8CBSf2OeT13/dTq756BW4uKR29jj3k7q25jUimj7wTEhLL8DNYMCqauU7EI20zGNK9PmzMWbJimFpxW7zrm8dFKz9uYCJZWeAGk3u98uL04lR/Pzd3t8YLuDvtxlxyh1uD4F41iQ8BVah9F5hycOKi7MOVlrSFYyhK1IQKuOkRfp9mXTsYRpdR3dL3oOz1zowQsUC76TjycTRCoLP4JfWzKDYwF709Zutq7p4tDZCntPLuDHO6u2Gm5turOdS5hydkW5XJ50lgYgg/pao8Dh4+vYcWqY9YNnWXPdOd510xFGdt7IYmkedLharRxN0Q1wlG72VSZdneW9p7PBLYNTDKydIfAUF86u4+BiJ/VaC/dWCRmS/ORf1oYisL2Lvbz8+O1s2zzORKXIN3dfS73mZtFFfHaUGrxvy0lWb5pAAeMnV/HGuQ34ucfiCNvJ9f2ELOZxC01hwh9zF1XjUSrF46ZFxyEbZp8dFdFw8sIC33zuLDdfM8SqgXKyw6r8DjuLLv3M/E31axpcpdi4ppvtW1a84/4pCIJkk7GYjlIurx0Y5cmdF1hKdkSy6Dkld4u2bK0qA8Zc0Gz1WXnGzTduzHKxb6I11UbAS3vm0MBixdjILDXkRHVoTuAtdyg00mUGjjEXeUactcprVgf88o9OUCgF7Px366LAMcehSMq2G9hlgzLx5fFkXufxbmuoMlkCDytfEr4VX3l82O5tHZ6ps1a6lfjygqk8uSUticNMMk/KYNNRXvl2HagtvxWcgTPZObVdZyRtJ483WxkbjE2fNh3a6Ms823PJo4q+a7Thz9O/THm0pe3ktd10fsFVPLitwYPbPJ4/XuDxt4pR+eXYmshLZuMsDqBbgsZCM88UwVEUnYCPXjXLfdsr/O4Lw5yZLxnWYMLHna5uOhiqiQetoTodvrKasBk7HNrSVakMidRrQYlTFsPqNIwxmHhOgddrt3P3sTvYuOYivcMjPLL2cY4fWsm5Qr+QWzfp572qZdJJ6T6Gc6AsdlKNB6aW44PK8mLykRqY0w5bXioEDe7vfYX1218GN8C9tI6XL76bMQaywHGdmA6vyU9qpt50lFRab2Zeq+DDtoJhBksp+YnoNp9ppbg07/C9Qy53XaG5dtjJbH1vm7FvN8OfyVfQW9IMdQYEQXr31OWkcIMJTWBMpISvgbm8eMrhpdMO1QYklZnIarT1WA+Z1UCh14yzZuRlhkoLHlugl8JP6nqgw+eXr59hbMnlG6d6Gauar/lb+jptymj0T3nDeKZ8/qMP3jnIj79vNX/+5AgHzlTw5fkgyaYYRlsy+yEFWM/QtOkUcm04YdSQK+nnjLYbPwrg0PwKju+6ilVbRyn01bjz1uO8eGQTLxy6ig1XjlEaqHJx3zr2jqzGD8RZEZmhPMTf21HlQ9cf4733HqJz9QxaK6bPrOWxF67nudNX0GgYAZ2FdeSbiSkZDH0Zep2Y7ebLr9/I+jc9ZrRitFYm0I6h/6ig1igHtg5PceMdJyn2V/GrBfbsu5Lz4yvQtrEql9EIZ973dEmS9RhlpXZYzZPVqDubPeSYylLN5/ndIzy9azWffO9mCqm5lWx/JJ81SaT7LPPNB63DiWbf81P9k+zLrH1bDk3HcRifrvPXTx7n1MUFo+kbbWU5vlEyRlsIyuKxjvP6MRGYW5OVJUVvt8vPP7IeH813do1x7Gw1i8vcST2xf9m/tk+XuTlOHuf5jsJiDSYv9FB0ic5AyutwWzgaKTq2fCnscniTdGzXZlnpzNqeK7K8SDo2fmSZVnB58izH0vL0YOsRbPXdzqhsPNnKaPHbSo+tcLTSgflc4ozugwZ4U+TLatPZcuzIJofkR8q2XB3beLDhFs8K/aDcHBpS35JHG22TXymPrT1l66bgaG67cY5PfWwS79H1UeAo+ZHJZh/GM7MDjAdGp9AEN4/lSHwSxdhCkXPnulhcKoSgSSAU4UqCGN1cEXIMOvEMe1CH2iyU+7NVGwed5o6MgcFXLE7seCSvzBp0zCNC4m8ldUj+pLuG1459ktWb32Jp8DCrtv0td57bwMjiR/Fc48BtjaGnWJ0WxyXJj25MlZf6m2AaBr0p1tfOc760ganSYFO5KUcnljGuA23hwwRV2YPaY9mTVUC4Tp3hM9u/RnHlCNRL7D+yg+fm78IrieEtJZ+BM+Nk5LRxmzNiNj3bc2tgailjlo3li/JqPvzwjMO39il+5V0FugqNlFNlCxAvx2EzyQZBQBAE1nLtnLLMK7FOgaPjDn/+hsPIgmtXa55+8pIt0JGTC7mvVQr7y6MlAsoVZZ+fe98ER8+Uee5iZxQ4irJ5+FJdc4u+XU4YSX6jNDHf4OIpj9kpP1x5kUGEAxndSP6UgLHcZvuCZchr4pX1pBRL9RKPndnC1v2nWbPjNH3bx/jkbQf4w+d3MPrVh+jvqnJ+foDzU33taSpFoRBw35oR3v/+3azYOgFOABo61s3ziUKD6a8O8Pr0imz5WMea5m67ppyZCaKszmarZWYxN3OjOTYYCuku1Nhx9RnWXnsJxw24eGQNL+/cxpJfaO1KpJUaXYr+UjzO6MgWZLa0A5UeG0wCuXWh0VpxcXyJv3ziONdc0cft1w6iSH+PndcfmX1Ku+BPoaLqsU+K5b19YaOvlMIPFH/91DGefu0CDc+YgEm9YaRa69jmhkodp+At/VeejhNcpF57FoNO+BNAT5fLj39kCM/T7Dkx2wwczeREZePANXPO57KM8nI3x5FasmktXebgRZd/87UelNJML6oW8CZ+ScN2DVblL4t3WzDQLjhpBW+Ds+nGBiP50wJe6kQ+l7TyAhRbWk6ZPLo2uDx7yNNdK5lsurDhkM9knqlXAy4TNLbjPU8/rXQs7SLvvlXd5+FulURZpyv8ttEK14rn+L4VrKTZSo40Lj+A3Qd6+ZLXyc5jBez6yNNDnG/wK2fy4qDLccEtgPaNAKwJX/fgy0f7+fapgMlqIdxyX+vmoCGdiXhwTb6hNAcRBX4VakA5clriADNm2/y2MRbDDJBS4urmfeq7L21srhIW8pwC36pvZP3OO9j2wCl03zQfvfurjL+whZf0rU05Us4kzbzUs4BVjUmu6TjFWH2YU85GPFUInxc6oFBOZOoJFvnlri9x53t+wHO7PsR/rv0MNbds8GzqLu38JfeZ10HNwVsbZ14qQ3eKvsYcHxr+DqXtb4Lrs3hiG1/e+1ku9q5qmopp0rGe5YCphZ4lfzbelAGL4Fc6eDY8Jm2zP8nsoquYXlJ8aU+B7as9PnhtgQKNiEX72WjSsco9ysNROE7sqIWz8EHQ/E7JTJfjpCnlMLbg8Mc7FW+cc6LjSkW/oIzr2JmXgU6rAC/1zGg01voinW+W09jLRNezNZcvPzvI6FKB6XohXV8pGXQ6EInhYtniH9N+jOKh/AKfih+GZb723ATff32a6TmPhqebcLF8KZkMBlN6aqHjVD20wCvbho1G/DwKYHSgOT3Rz76X72BgywTlNfNsfe9hHji6he+e2IQ3aq4yil9Tlghvh1tn45Vj9KyfBfMVaTdgYNtFhrdcRO02VvYSHTc7386yYri/iFbhOXiVqtEnojBfBUzbocX/EHbqugH3X3OWdz24n2L/EvVKiV0vXMfx+X5hA0LfZh1kgg6dotEci2hOGiR9qlnHkBwjkZQ1xqTkQtisVs3NX0x+TbsjnHDafXSSP33sKCt6b+Dq9b0Qnfu6nPNebXm+rxmfrTE5V8fTAROzNS5N1VjR7VAs2MvZvue2TZx5vuJ7r5zhi989yuKSl25npp6ToyyUUWdG2zSvU8deGDqON6KBZj0roWPzCJfY7mKdy3E64ZNm/ajw9dRHvzdJoOD8dL1JXwl5ZPvN9A3Cxizpco8DFkhlpy1/wXWgo6jpKEgjMTr65F4ag83gjI4514lPeQQ5uGwwEtaG14TJU7CNjzzaMuXpwKQtadh4Ec6ItVwrPjR2vdj4yHverj5sPEv7sslhs5V2uJiIsrcAACAASURBVIz8wAs3wmlbRlvyJLzRkK3wy7UFUy+KfJ1KvnJkjMuqAhR6LfA2O2vV/iR9G7wNXz5/XgDPHy7wO0908IODcg5L1vUydJwZCKM8rUGVDNHjzj9Gryi5mg43wFUGDLpZ3sQX00xUYMDFf/4S1KaMrkTasqknQw5t8BwTSJweUUwOCtUZFr0G3zj3IZzD90Dg4q8d4Se2PMq62pTBh1mW9CASoSpoj093PMMv7Pg8P7v+y6zyJiM+nHA11dBjh/K4Z/05Gtcc5aGVlygjT8+O5NAG/eSRyr9WRp7O5nX4S3yy8/vcff93oKOGqnXwyps/ypGejWmrS7oP3ZQ1IG1CsU3kOTlSb7H+Y96sDnzy0KrjFHxsR3n6UXBuTvHfdzm8fdFBq+wOhnmvptqeKaWo+Yq3Lir2XQrPVjw87vDmRYclz/5NUsiyzr03yyz5Ll9/W/HYQbe5IY6pX+vQbrHNNLF0W8zUiTLau+VZXEbiSBxrYX8R3FTd5T/uG+TPj/YzseQYdmjyTrpuU/kxbmHTKdkM4FT3FvMRlikWFJ0dDqWikEkJZhQglawteSka0HyVzmSeFA/JfV7blYGW0Qf6gcO3RgY58OaV+JUi5b4qD3x0J9dvGI0mMBSikBQgwetoKDgeSkWTFajoV6MKAU7ZJ9WmTPk19HQ6/Oz71vIffnEz/+EXN/NTD61h5UCRZp9r8JOpMwUZI4hpaJTSbOxa5IN3HqDrihmUgks/vIbvH7g6PIJD6iuFk3R/YYie6qdkezLGs6RMqg6kfar0nxLwSb9kMXZltKvoulr3+dtdF/nrJ48zMVvHic6ehWy/kZeXUFCKaiPgb75/nL968jjjUzX+5LFjfPHbh1mqBbn9U95klvk80IqX947y3755mAtjlaZ8GlKBlSFbVDhCGF+b+UY5HQNZdNhWx4YtmPQzmxSpdFmtmFsM+G9PXeALT1zg1Plqk74W9JvKiBWEgZg0kD1dRuAonUXphMZ/2viF7esC/p+fGuM//uwIA12BKGMmG14t8pV4bvJmw2WTwUZfNKAMXhs+Ux82vvJwyWSrrLxyks+0rrO85Y1iNjp5NFrxZsvL6xBt8KYMlk44N0DM48HWAASs9sGbzilvK5unM8lHnq5svJidQwFUR7QqGP91giqTfiGglXx5PDlQGLTAx7C21Mr2bDRs+CSsnV+lFJuGNDuu9rhyZWApn0c3xzZtg3HccRY7yaSo4y45mp+6dobffXiUu9dV0hYjBw0zUIvvpWMaX3t1WBwHr5F2vMxBJ16liAeAjHzGZSB0HK9AejVYmghXOlGc6djAo8c+iju6GuVoOm58jU+s+wZDtalsEBwHqtKhRrGh6NBYM8Kmvjk6VLRaWzJfwQ2d9FnVzR8c+yTf+dKv8wdnPsqSUxZOvraYlUrhyCQpq+DbDXw+pvbzgXu+gl41BlrxxvMf4yuzH6YRr4wmgZ1O6znRt0xCN6bupVMW2U5zVci4N+kmZbXddkz+MnVACpcfKHaed/nDVxxOTRdw3QLmimJGGiNPPg8dKIdvvg1f2FlgqqL409eL/Pmu8FzHdo5Z3rdIjuPgFEo8dtDhC7sKjC46zbezTHnM61S3pO06jvUl6xVRxxJG6jhGHF8GRn4g6y7E0+kG3LOqws2DVbqKlvqJ+xibLccsynwlgPKGyJRdaH783UP84a9s4RP3D1GMPyaL27HJU4oBorcTTL/K4Nt0SpM+yoDNbcemjnV+nqA7NtPNS6/cxuzhjQCsv/oSn37oNa4YnLHwH5fLjl1VXWRyfABvsZQODlDUx7upXOhHm6tHQscfvm+I//nn1vP++wf5n+4f5Fd+ah0fvHOArg7HrlPp4mmhT93kdbhzkY/ft4dVd51FFQPmTwzxrV03MrkYnREMoY5jG9bGtSK/P8CEl7ol/XZLwreJX6VppdqPBT7RmWhn2mhXkW+itWZ8usqXnjrJnz9+lGo9PIoHsv1Gu6S1prOjSH9vmQtji1SqHgdPzjDQW6K3u1nf7c62NZNSikKhyO4jU3z+K/t588gUvm/WXQoLTbsT7Smun5TNmzpTJN8Rmzo060zWtzJp6rSetcmHwWuCO/wtFxV3XNfDbdd1s6K30MRj8h/E/Bq/ibxY8u3pMgJH6SBKT0Dmh7/dZc3gugYDG+sUXVmuHS1bXqtnrXDJzifOi3+15Z6cextNG26bXsxrhR13XpIdsY0fm1Nt68Tb4bfBt5LFJocw+MyzPHh5bdKy4bPdW+o5tXuqTDZbkH+SD1iePs2iJXB7oTgEpdVQXAnFFeE3iIW+cHWw0AfFQSgNQ3EVFIbA6QZcC07Jl1FHhb6ss5qqwzzebfk2Hce/0vbNfLNsWsclV/NjD0zzxd84yafurZK1qzxbyOnwUmzqpiPoKHCKaSfSOGJBETDc7TG8tk5X2UelnKWIl1RnHd0nR3FocbSGNnax88KVx/p8s6M3zRjSxz3IwMM879ERddaoQXUS6jPhKroOy3jK5W+XbuHJwx/Bq3ThdC9w292P8YnVj9LnzzXxJysnqilXNDB5qsDvzb6b7/7Z/83n3/4XnHVXQbE7fEVVBMl1p8jT7m38TfXTPFO4sRm4yVlzs/4VKK0Z6Ai4aqDBcFmsUqZ2cSWlf1cH3Oad5MEb/gp3y2HQmvreHTx99jPMFFeIetIGL0b9pPiJ6ah0EJgQh4yJa4RsJg4hdyoAEk62xGHF18yv1uGxwwU+9/3wu0HHdSMwuZmE/bxH83lPWfHAleEr475WzNcV77lKM9DlJt85mvCyvMxXShE4Jb6z3+FzTxc4PR2tOKSaUgtZM0y20Emit7QtZnSanAdq1H9qiFRNHTuy7sLfNT0ef/TjF/jNB8ZY19WIFWC37UygS6r+sjJa+k+pI0PWlX0lNl7RSf+KIkoZPKS6TkPW+IFj4NVGvop1I+3EtFczT9IR40lm8s7MC2UItMMPLw3yty9vozLWg1v22Xz3aX7tva+wtmch3U+bMqQCf0294fL8qY3s2bkVb74D7Su077A01cVzO6/j1ZG1dlkinf3EfUMMDhcplBVOUbFmdYn3XN/HYL/Rfxnwcb+Vkt+QK67nFT1VPnH/Pu5+ZB/FrhpLE9089eyN7Dq9urmJTlzOtnKlDd2mJqcMW0mtVNG8T/U7Zt9nlFEmXZO2AZ/AiDqQ+UIHWsPodJU/+NpB/uCrB5ldDFIrj8tNWmtcpXnvnWu5/dphigWHG7YM8CMPbaaQvBZkT3lvXGgcdh0Y57e+8CYvvTVGtean22asjlSbFG0g0/dooUujP5DjjjLwperA1KVF/9LOzLYdHzqtYLCvwG///Gb+r89u5vorupq4zOSIcTGmG6im77SM4P4dnOOoLNemgaXT/vMuv/XFdTjA1GJ7htK4JPxynNQ8PkUHn4K10Vouf/LahkfSEA5EqqyN9+Xq3YZX8iFpSTiZl1e37fQt5ZLPJO48OWwytIOz5GkdBY22+pc2lad3+cyGRz7XgAtud/idoXJawEGmXhSgSmHgQ08YIASLENRa8KLCQNMpt6Bh05MFzzuyVakTu24DDaMzRfaf6WJ0xrXgaGXfKQ+m2dmbZ//F33TEg5bbCY3FZoccdZ517fBX+wd46ngvh2c7CJJBMiajDfWo5ndy5oCgTRhSRyqgg5CuXw15KHaF313GZU0e47LJAGPIHcN4SyE+7aXlNjaNqRY6eeLMJ+ikwn33fh1nYIp33fMt/FcKfHPy48yVjNdNzd9YbhTny6s4X14ZZrhFKEebVqRWFcJ733HxcZvPY52Y32Um+MNyna7mt3aM8pk7Z3j0jQF+9YXVLCXnoam02USBpKt9rq+d4qdu+0+svuNZdMFj6dxV/PnBn+UNtqDNconZC35tMkcBc8tBMw9PnGznf9oCJWXcS5wZeio6YqbpiNR9+M5hF63gNx9WbB12cPAyQVyrXQrDXVB97t2seN81Pl/Zq3hwi8/7tpHsWmjbbCdkK4tXKYe5hstjBxS/85zL+RkVLkpcro4zkw0Wncjg3KbjuKuwHSMj8cU61gja4W/ddzg4WuL0TJFa4GTbven8y/xWsjSZCMvbhjEh05dfGOOVw3OcvFCl4Vlk0qKMLaX6rjx4Sx9n+0341ln+85KGRuDwrbevpdRd40Of2ElpsMKGB4/xK0sl/viZHZxe7EnP7yS2ZPSLGsbne/jjp+/l7KlV9G0bB99hbN86Hj9+FZ5n2VHVOANvrhZPIDc3Xak2NJnTHmztPUfW3u4qH797Pw8+vJeOgSXq8x28+dTNPPPGDVS9ooA26l3SM9uJssBY0Nh5NMcRScdCVyKWQ3hCK6+iNWjF7EKD//TVg0zPV/mFH9nO5jU9KMKNt5a727PWmrVDXXz4/o0cPz/HT3/wKtYOdeH7XgbWLC/zHcdhvhLw/O7z/MFXD/DGoUl8uZuuwr6ZkOxPpJ7ydJwZTy35KRwW2Dx4FepYwjd8zYlLS/ieZrHmi3YT01LZ+tPYd91tkf6edlUVjBjPpxfh9ZMuSkEtNalscxJNXLrFvbTmPK3b6LXjW+Yvh492cO1o5PEj8WVaryVJ57oVPllmmVaTlIlxSR1Iunn4l8NfXhBh6eSsZSM4bwr7SqPEIXVsG82l7Up+4vxCGDC6nQImM1KQlVfyEyWnCE5/GIz4ixAskZFdFcV3jTa7kXSkDHlpud6BwU8OvOfDt3/Yw0tvdzO16FjK5elC9huxox4NdKbznuhEhQGbt9iEjxw7jeLYXJmTc6XQMYzp6ah8KjCMHUFhA6kAML42+QACH/QieJVwp9dCJzilZhCZiCp0FvjgN8LJgkZV6CXmVeg40MyX+nni9E+wvbDEyh3fJRic5v57H0W/VObb048wU1pBOJFBerfXOCUz4ArKAyJfwuXc63w4R2mGSj74iv6iHx7OHDjNQTyZaQ/LFYM6t1TO8xN3/Bc23fUsuB5qbDXffvFneWnxLnzXPEstrgeVzkvN4EsHQFngjF+lmivLCuPoF+E4WO2FtG3Yntn0KB33CE5rxZNHCjR8j1/aodmxqUDJyQaPaXTpe63DvQd+5Aaf/aMOP3ajR08p3PJewudtuOM4DspxGV1w+fJbDn/xhsvpmfj1VEvbt8mbFzzHdhC3KzkJkYcr7gNsz5Zju2IVb3SxwK89tp6q73CxUkiXS+pI4M6bnEjx0YI3mz0qOHG2yrlLdWqNaEVY2lSuWyD5i4iYu0bKvsscslN6FDjiG2udS5maWQ3P5dtv3kDnwBLve/9uCj01tjx4jB+bXcGXd93ExWo5u+hpCqpAo5iZ6+Qre26E3TY70k1dJjYUyvLlZyZ44NY+eofDHacnL9Z44dAcU7PRqnLy1kikJ9v5eUbq66ryIzve5pFH3qS8apGg7nDulS088eZ2JuplIxCOysY4zeHMTMkQE/dDFphWyezr2g3bcjiN+8fcMgKhfMMCmFus85dPnOD8eIVf+eQN3LptkKLronX+0WdywstRmvtuXM1CpcHDd61DB37quSybuVeK0ak6X3/mFF966jiHzsyGQaMtXc65ik0iaR2TAwc5OibbB6XKWPosk4bRQKbnPH7rj86igZGxeg4fsa+Q4xcu08bcz33uc59rB/Tbz72Ed/YBwXGKe5HX1OK2NQH//N1V7tvW4K0zxegsJ9nLmYJIB1HSst3LsjZYG7xMrejmtT4bz1IfttpYjqXZyuTRaVVGwrXTbx5vefVtwyvL59VJKzo2eJmXV+cGjDcLum7Bn0dbiWvZyGy8QYoXtzd8BdUpWeAk7xJXnk6NX+WEK4pOB2if5habbvgarDJxXc6I08ou8+wmTw7zV9ZT2KmXi1AsQLWuqNTb8duivvuA7ig7djBNJ9Ah1FkjWqk1jr8oOPCJK2f52OY5ZusFLi0ZGyQkM3Gq2YHbHNiUw6rTz22+lA7Aq0ab6CyGq4heNTzOw6tG94tQnQt//WpYz7Ibi1+vS+qbFJ+Lbiejk+u4NxiBwUvQt8DG4VP0jrqcr6xjqdDZlDVRr9BtxwAUotly+Rqg1ZkUKbMqEgJ72uHYdIkDFzr45olezi2Uo8An4sWYee/0l/iYf4TP7PjPrL79WXB9GFnPN576eR6rfoSlQpeha6PupMOb1KNq8pI4ZUJ/7QIBc9UlvjeDTGWBTzaOVNlnSVPRaXwmLaN+fA1nZhz2jigKDlwx6NBZCjcHMWfkW+26qnXAcG+BzSt8dmyGDsdDfh+U56g5jktDFzg4XuDzLzr81e4CF+cUGkXG4ZEy2QIm+cxQbQZG5qX0aKsjE55mezXbbk45F+guBjQCh4WGiy9tRwaNUt441atw6ZBRTtCTAZkpXxRAf/zBIT7znlW4LpwcqRLIwM/mZMp886zBVL8k7pOuVuo0+guM56mHObxYWKs3XM5cHKJXe2y8YoJib42hddN0TZc4N9vHYqOUxieHYo3ooyUhZdFjeH9+vMax81WCJcWRo0v88fdHeGLnNEvVIM2vbJui7hSwsmeBn3hgNw9/eDflwUW8pRKjOzfzxRfv4cjYUFhPCHyxDuM8qau4Pzafm/1AUj+m4y/bj2HzrVJsczFRaS8x0RQ+leVfgTnpUG9oTpyf541D4xQKDsMrOunpKuGIIM3+FkN439dV5IarBljRUzSqROX2SwDKcajUNW8dneLzXz7AXzxxjHOjFQI/sLeRDAKVlt1Zpo5btcVWOjbrU5Yxz1408xKc4bWjFN0dDr6vWVzyo12XBS+29ixkKF41wb99+JGMSsx0GYHj/QbXpgRmntmiw/ubr/D51U9OcNO1C3zluX7mq7aw3mwlEncebKt8M5A0n7cLZsw8E9aGS/7m4c6jZelsW/7m8YCAsd3L+smj3S5gyOPJ/G1Xf+YzW0CbR7udjnMCCn8RgkoOTtu1bRKglS3KrHL4fWLqNdF29i31ZoOzTaxoUE60oumEwXFhRbialcHVqv6XU9822HblZBsilVcqaH7y3iq//vF5yri8dtJyPlpb+4yu+xX0qpRjkJ6lVVEH6kJQxVzBKLqan7tuhkfuWGTfSAeHJ8okGxjEna65WYstaIy34Y9FTc5fxFjJU+lyMS43ki3wAZ/wFdQg/FMGbAaHQV866YaDPa76GBvbzLYlj9LwBVT/NJvXH2P1TI3a7HrG6EInr1CbvGko9oYrtWaSNE3zMoNJm2NvOEIaGKsU2TvZychSMYrdlGHqGqU1fd4cP1r+AZ964A8o3PAaALXTV/HYc5/lO9UPs1joFuox7N60AXnMhTmAms7cclamTHlSzdLQiUlHJhk4ZZdW0nA2m1Zh8Dg6r3j9vMPogqK7pOjrUHQWlXGqiEp+ba94lRyfq4c0Ha4fsZR2yOQKo+M4NLTL2VmXxw4W+L0XHb5/xGW+ZvBn2ohN13mvmaYCZLLXNp1kgjSddqyS9ioQJfWVp+OQx3XdDf7L+0a4aaDG2xMdzNTMMykVmbq04iKcELp0yBAk4ic1dFlwGM9/+uHVfPqjqzk/UeeH++bDzT3MPk6akBZ4YHk7WyhIByRGfixrZlMvs7zUSf44Wq0XOXNumJWqwbrNE3QMLLHhmhG2Vz3OzPUxWys3vw20dYVJnmUCwNQxRBOIIU++rzlyrsrjOyd57NVJDp1cou7lePBJ8JTWseNoNvXO85MPvsb9H3ibYm8Nb7aDky9cw1+8eBcHL6wiCOxyJ7ybdm6TURHZs7DpJCunrzLFSAK8fFbS/ZdoJ+YkApBaqZZBUBygR4WDAMZnq7x2YIJjZ2ZxHEVfT5lyqUDBjXbCFX1kus9RFAtOs7qN/syED79jVFTrmgMn5/nrJ0/w+39zgOd3X2Kx6jfHl1g3tgkf03+IZY/1b+uDZD+VlMlRdDsdZ/DFsDnBahMpwwNFfufnt/DuW1ZwerTKxXjV0aSplSwm8GmKV022DRwv8xvHELGhTUE9C3tm0uWbTw1TcmGhZmv12vhthUvyYOLJK6cssOZ9jjOe4s9GT1vybTjN+zz+5HXer7y23efl2Z637IHb0GpX9nJ5afdsOTxbngU18Bda0GvFc55cefcK3J7w1dSWyRaYyuetyko8UZ7bHe3GahuJJL82ezefaXFt4z2vrI0/u0wKxaoVHts3Vtl1oAu7XmxtLcerjIM004FLnSMIFMvQcKNvRcN8TyueP9vLyFwXx8fLyffm6SAIIxiMgxKauBPWRKBpHFSfcqTN62QDj4im/N4gtVojxdfNchk+QiQah13uVXjHPs0nqr2s2fFtgr5ZbnrwUba/Pcujhx/i5cZNLBR70jiKXVDuScuV0qvgwRa8yjxUU+5ISG0O4kYAVdA+W6pjfGDtt3jorkdpXHEO5Rfwjm3j269+mu8vPcxCuTdLM7WKKAbcTF4cZFgcdltK+LM4HZCul1QgpMGGNi+Yih3zAKEvg4gBP1lRfGWP4q2LDg9tCXj/toDtqzT9ZR/XIdnsxgwe5cHYTZay30fG1/XAYWTO5bWziu8ddnj1jOLSvMKXr0rbVhKlvHkpeZVP1l1OHckAUvYBCajRfhN9W3Qq7gsObFwZUPd8itGZlykbs/UBKVnzRc08N3WV1G/z8UsHZ9FewOv75/D9IC1nXndvu07wiwcpnStLnkHH5ipZ8WDps5q60SjGqj1845k7WVl02PTAfkr9Va788D4+O1jhezuv583z66g0jIlF0w1NCaiztDM8pttT6pxHW9lkYjCd19HhcdvAJO+99wA3PHSQQk+dxnyZo09fz9+8djNHJgfDucB29Z+nr7hvysjZCqfQTyv4DE3VtAc5fDvR8wSfMQbaCDlpPFrD5FyN7716nr0nprn3xlU8cOtqbtk6xKa13XR3FHHdsB+K/4BU/2Sb0Ao33oF6I2Byrsaxc7Ps2j/B07sucODkDLOVRgs1xfZitDE5qWJ1XXLam7LkyTbWVscI244VaNGxAnOCzHVh85pOGn5AZ1F++hNfSsMQz5dlrKD0MrY76vrf/z1LL/1v0Z1lAMsES03iRRe6SqHy5pdU5N9I5tvd5yWTrq18joNphZGwWJ5j5Nv4WG7ecuX7p/SOk/ahMUFOy/97Tg4UBqINbDKMYLcjm03Z7LWVN9DOviWddm1OwuTB2WDy+Mu717iO4paNPtev8zk44vDGaXMey9YGbSmC26hgpSgTDzLJd2nRCObXoTZtkNB0uZqiE7DkOdQDs3PXRpCko1/DyZCySScuo2JzwDXgTH5jvOamKKYzGhg8mXzE18nAk9aZE/hsbVzi/cPf4dZ7n0QPTaG8AtXzV3Bx7yf40tQOTpbWhOWcEnQO2tWdqX7Be15Q0MqZFDBdXoWHGzv54PVPsvLWl3AHptCNIsV92/mTN/4Ff+vfz1KhC22jJR33XB2ThmvHb97z5cps1pfNOc0LkvJ4sejPUdBT0mxfFXDvZs19mwJuXqdZ1RNQchVBEOD77b71DpNSKty1VcNiA05PO7x2Bl467bLrrMPIvAr3LbCt/En95unINulgk68lnMSd019IONt3vRZb7i36fPCKRWZrDq+OdTJbd+31mosnyluahj3fJLX7SitbsDzr6lCUSy7VekC16qNTDug70HEKRjUd2Mxzi4wBZFZCWraZmIboryJ41wnYPjDHB+/ew23vPURpoIJfKzB+bCWHnt3Ol05cy9RcVwpVBn+SfxntK89+ctquUjDYvcR7Np/hwQcOsuqm8xQ6G9Tny5z57g6+8PpWTs/1ZlcatWA6bxjNuAsxH0b5vOEx97pNX5aCMelYxqtWtiblyQHpKLkMryhz7aZ+br92iNuvHebqDf2sHizT21UIv53O1GOIMA5Zag2PybkGF8Yq7Ds+yZuHp3j7xBRnRhaYma+Hzayd+2DlU+i5FY5c3EKHGVvTNINI85rLqzfDDro6HT5w5yCBhp2HZxkZbzRhUv2o4R9lXDRN5/uPUPnt38unCe8kcMzj3i7cuoGA+66u4yh4/K0yi/VWrWU5ePPgbS0mz3vLeG1t6Of9tuO3ncX+U/oHS41J0DmzTX+fSRXDoFEt5/2fTCvF3vNLmBTBZeLEcp/XnpZjo7JNgZ13SZuccuH/jqKmXISap1lKfeO4nB7foLFRwaooS84gm/Rjh6w6BUFoHy6au1dV2Njj8fp4Byfny1kS5qyzpbNNB6lKqGEZg6wJF9OLU6uVC8mbGSTHKfUtYsBQY5qP9jzDfXd+D2fjqfB7wUoX9cM38J29H+et4g2Md2/DcwrZYED+ms8QdG0OsAzizRlkrenXVa72j/FrK5+h884ncNZdQBc8gvk+Jl77KN88/CM8X9pGI56kkc3ExC93ObU54ynHzMKzHPTj3WvNSQVZDgv9xB5zeDbrL/UNrSiQ4Yn0s4gXRXiu15regGuGfO65QnPDOsXmfp9VPQGdJYeiG77Oapp1EIAXaBq+Zr6qOTfrcmRC8dZ5xd4Rh5NTitmqwktWQkVdS14U4fu05r2NZ5lifLb2ZK3X6Jmxt1WKVqp+TF5ybMOoE0dp+go+vlZUfCdcXc30CRZZZGBamYE934g2ycJuczFfMnCJBLnrhl6uvaKTA6cqvHVk0djoYxl9u7n6kQoIRIeWoWsZT5L6wbJKo40iSpQhe23gdpRmVe8CH7v5MPe9/226182iXKjPdnDylS1886WbODo1xEKtI+LaMla0mtBJ5DbKJXVhGcsMHEoF9JUabF07xk/eeoA1O07TMbSIcqEy3s2z372Nx964iYmliDetCTfAyY59dh2LX1PHKg9e6DilfwGTClqyLCUwyUZAQh/W4KaF3m1tK6CpD030GqrL6sEO1gx1cuW6Hjav62HtUBcrV3TS31OkVHCSrmBhqcH0XI3R6RpnLs5z+tICF8crXBxfYq5Sxw90SDbRmSm7ybtoF4kKbHafZxdSxwJ3akwUbSxpN1LHEUyqiEFT6jPmI9JlT3c4qVWpBnip3JwXNgAAIABJREFU19iFfEk9ZG2m872HqPz7z9Mq/R2O47AIbXm2dbXPb35yjHLZ4+Wjm6PAUSgx02jivLyOUGojjz8Ja+lkrHCtkpTZxCHzbDzb6P9T+ntN/gL/OEFjGYoDbYDy6t98nlcuDz7PXvPw2mwyTnntudW9Nu7z4Gz04rLhfcFVvP+GJR6+fonnDvbwrd1lUabdQCmScWRBenAUHTtAuR+WJiEIKBQ1P3bNHI9sX+L/eH6IU3OlcCVLG/RSzVUMjGB06oIX6VyCfXBNBhQdfvNobjpgwqR28jRZivJjh9qkZdJ3HCZLg3yl8iEWX7iOa67/Ktdse42gd57Sra/zz648yQfO3cMPLz3ED6fv5mJpuBlAJs6/oQyrLKThTHi5463WKDR93jzvKh/lnsHd3HLN83hbDqA7wrM9nXNX8MybP863zn6ES52rCBxjxUeTdtAdQcukH9NNmatwdqTDmXlm5gndS51k6JP+telEvmaZmL6gkdDKXIAKZ+WrXrhKeGZaseuspq9DsbLLYd0KWNujGerW9JY1JRccJzzPsVKH6SWHsUWHS3NwcR6mKg7zNdKri0qQzbSHmG+ydY5hmwl8Tj3Y2k6sj5TMFt2murmcNpfn4Bqoh8se/8sdE1yYL/ClIyu4VC1mh28bHsdGM6Yr5Jb6yNyH1x+9a5Cf+cAqvvDYJfafqODXzbZEFq8Nv20FRDf75bTtZQRNw1iDRkFX+lpm202hVwRaMTrfy9/svomp0X7ufHgfm2+4SHnFElvfd5hf3TrKnrc288M9W9k/McRirSxkEO1Q8pXhyaxrm07CvJ6OOreuHuXe605x3a2n6N40hdvh49cKTLy9lqdeuoHnDmxhptYh6Em8Fv0j4Kw6NvUl4Mx6MnVrKliRlt3SlSS8ODRfkU8CbFOXZiHZ71noZOpbJTiCAGp1n7Oji5wdXWT3kSnKRYeOkkup6FAsODiOStB4fkC9EVDzAqp1j0ZDE8SThWb1y1cyUwGTIUdKL2a+tFmTd6FjUzbrmGDwYtb35eo4JYO0FejrLfCvfmwtQaD55nOTHD6zlJbLrIs8/eSNMyL9Hb5xNJjOXDfvF6qK3ee6cQsBDV/WbgynM+XyaS4n5fGVsa42dG14Ja/SC5DGIhzDZdP6p/SOkvbCDXH+oZPTEW5E0zZdrq2Z9mPLj59JHLZ2ZeJp1Q5a4ZFlbPhtMraiFea5jub26xb5zMfHqXrlKHCUcpt8SbwyyxgkZSecYl+FGwgVu6E2j9aKcwsFdo8VmKo6xoqPHPiE82GbWczMqsuB1QjqbPxrbVSZRa8psU0alqAt9gWVkRelpWI3j/pbWb3vF7h/5EZuu/EJVm45RtdVU3Rv+gGfmtrDrSduY3zsPl4euYc3CmvwXLGzqi24Mp/bnEgxoPZ7Czzo7Ob6rS9w94bdBOvP0uisgBvgLHRzdN+9vH7kIzyx9C4qXd3NV1NNZzzzuqFNV6KMTYepGWJRziaXxGsbcFPOhdBD7KBIe5W4Je82ernBQEhmru4wV4eLsw77xxQFR+M6zf1NQnBNQPg5iRco/IDmDL7N2bTpIc7Pg4vlth79Yughr82Z8CaZPFszncN2eovpi7z+ss9n3jXNoTNlnjjdGwaOWsDa8JhyZZxTsy4hdORE2RAwdT8y12DvmSUuTqePXknbGOl+S6a4vwhUdqICLYIekwdDn6l+3QxQVJMXU9ZMv5nfX2gNc4sdfPf0VRz41gAfPHuY2x/cT3l4kZ6rJtixdo7rt59n79EN7N97JW+OrGGuVhY2JPtR0TfnJo3ZX5bLHveuuchNd57g1isv0LVpCre7jgKqYz28/sOreeXVG9k7PUi1ZnyqYupYGXUd/6YC+jwdJ8iyOk3gTB0K3NqAzdgqRvmkkTSvlS0v1o8x3pg8mLKk8k3d08SVmWhSeJ6P5wUsVhvZMTjRjxITFkZdJ/htuozkkvqV44Ut4Etg5dhmgMnJrYweDHlM/NrQtzKZETpOtUudzkfR0+nwYw8P4zVg19vzYeCoDN2Y8NrQRazPvAlgS3qHr6raOjlLJ0L4KtpgVwg/Oq/wW+0wlcHfqnZNmvLeovyWQZ/ku5VKJP8SVuJtBfdP6e89NSZAe+3h/i7J6YRC/2UUkHYJtrZitztZLu+Zze6Wg88Ga6PZDq5VW7PzXnDhgzfXeM8NNX54sMw33iglz1rzI50WYAOw2hhEIewEM6+tCjaXpkA3GCx5dBQCpmsuS55xuFaMA4zVPLI7dKbYE4N07J3HZxPGtGNeHMln9EALfE4OLxm6Fh5ygxtN2a+zrnSJ/3Xdsww8/B0K3bPgBhA4qMUe5haGqJy9ltd2/ySPlzaz4PQT+EXqOM1ATmN8b9isG/ONMJeAkvJRTp3NS6f4xeGXKN/5HH29l+jon0YXGoDC94osnrmGrz3zL9nt3Mi4HmoGrX+faZmzq/+/T8uR43+UrP9QdP8R5VnV4fFv7hjj0nyRvz42wEglZ769HU/Jq6r559i1SwN9BXo6XOYXfWYr3nJ8vHee/kfYjKDpOJreco0tG8f57MO7WHXbOYqFUH9+3aEy18nkhQGOv3gN3zu7ifH5PhoNF1+HuzZruWlTTgq7Xo2rNK4bMDy8wI8OT7Lh/r2s3jRB5+AiTsFHKUVQczmzezPf+8Ht7BkZYnapM33cxj92Srmuhv6srxFHvzZ2YzxmOdsK3eXykjdx2GqyLc5O0Y/h/z/2zjtOjuJY/N+e2XB7+XR30ilnFBBISCQFgogCEUxOJjqAjRMGG9vYRNv42eZhgo1NsA3YYAzYmGhyRhISCBRRzul0uhw3TP/+mJ3dnt6e3ZNA773fe9TnI91sh+rq6urqqo67Scjulm/CY6QjDymF2sTkbgS5DjoE0FJZZvOdcwaSciRPvL6L5es6DfR6Ng3mdpV75YxjIUcN9BqXRiUDKt2Ovq7BSq86kjePH7cJ8jmuQd+FegxKukJ4TPEmPIVw9hISu3DP0pXvXr7/a5DqgFTb3i1jt51G6H3792biIx+efDKabwKlt3QU6mv5wIzTtgS2kKQkBSaV9LpptA0C+irOngpecn3FBgHSge6dDIjFKQ2l2NEZoiUZcLYvQ4qOR8OZcVI1ekwDjmm1S2p1U2emg7S1PlD56q/xQ6+PFYZoFbaQHJBczbnD/kW/UR9QVrcaJ9aJsB2kkOAIREcpoRWj2LD+SP6drKQx1JdUogyZiCDjMZCKpSJSiFg7ItxDkdXC0J4dnFWzFmfsHFIDt4KddMlwLEiGSDZXsWXrON7/4BT+3TOdxnBlruMb1CY6D4LqGpgQrRyRO/DrZ9byGTL56NPlJKhuOh1B9OYt02C8GeMVIvMZVr0NM9XbS5sBA49zeO8l1XicV40qdfKpDAOv80E6nRCCsCVxpHtcs+A7lUGgO46m9pVaXbV69q+N0KckRENLgvrmRPZG0CAe9FY2vYmqQjIi1PQG2k36N7DMPOGGuGgowZHj1nD49GUMGbaTWJ9ORNjBEhIJpLpDtK2qZfkHY/mou4jGthLirTGS3TY9PRG6E2Gf+NkWlJW2Y4cdwqVxqqvb2T/SxPh9N1I+vp5QSSLDl1TSJtlcxLYt1ax4bQx/XTuW9nbvaIXBDjTy0htzetGHguRbHRp63ba9BB9uU7xJH6UzGZ958OqrJDfe6mkixKSD8vDPRKsxjUZTQRNKSa/rKgO5ecO8cA+CqpDj8PeOx0JAKORGpFIy56J1P+3BPI4du1ccRx/VBHPIjTt0ZIqrzmjEDjtceVdfdrQKQ34dZz68vhZEa+WA9B74RpGAepj+on3r+NTfQWCiuxegXvJiFX/uPAaBdCCxk2DL+jOAXm9PVUGXn3yyB8Fyl69/mPIEla9/q+mDZD8ojYk+U3/TcbhgWzBhYJIxdQ6r6y0+3BAKoMGEW8PvW3FM/6cqyCDDXELEinP12BUcOLKT38/rwysby5CZh3/Tg4Y+a+dzEFFwK2X74tLxmbOP5ObP4PR+a/XNwan9VnHoLMqhP53fcHtqNNXNoU4Dowa+xv5V7zN86HJkVTNOrBNCqfT9M+mr0XsiWK3lWJ3FiNZyBKE0eglWEqe6EaekHVnaAVb2SQgAeqJY7SWEtg/n/a3jWLzzEN5unMKuaB8cLIPIa3XI5wTkc5h6MxOuO+0mGnQIoi9oVl3Hn5NWkjHOg+rh1d3HB4NRIJUwvVxV5naHxzoNOeEKLWod1IkRvW46Pp22TH3V6vSyTfKFBcVJSVnEYdbANlriNvN2xmhJGFYcdf5Lcnnc2QwfPgGpVLDcmSYblPb67rkDOfnwPjz2agN/eno7PYmA8S7fpEJm1UMW4KWmO41ObhDdedq0UPo8qyHCgj6RTqYM38aEfTey39CtxAa3ECrtwQpLEDJDUrItSvfOUlJtEdrbSmiLFylVEYSEpG9NA3YsSaSyk0ifLrDSb+dKgUzYJDvDxBtjLPp4OJ+sHcjSDf3TN6ZSoM4Kk3KcbgMUdEa8tgjAY5p40dtA3eJpWlU0mQ9q8eq4Jsilx1Rn33cBHvQWCvEyb6IAPkpwt26K/Hz36q7qZbVfBPHS1E1N5Ol9E40mE940HcUxm6MPqMRB8sGqDrY3xIPrnwdix35S0HHcgzOOqiYXmGuUJS4agjFVPRRFktiWHm9qPRPkKy8Il4lunX6p/S5Eh4lWE74gPHovKyD9+s2gTick+dx5NEGqleB2+wxARPfAaTRBPhnX5SGfbJrivHA9XT6cwhBXKI8Jt5cvKG8uXSFLcvyhrVx6YhN/f7Yu7TgaLZOAumggM/+ZUagqwBv4AMsKM7CymDHFHZRnfFd1wFXxySwOL05fhcpcBiK03/gNZ29AzbBOMTj121GlNBtcGWNL5l4kovJAHcS9PHYUirTLnaSkx4rypj2IOdvPpf/2YxmyfgNjnRWcNvw9UgM3kiprRZa1QVEPMhInVbOTFCJdteyAJ7T2kkkbq6ME0VaO1VpG18pj+GvzILYynvXd/dhll+MUWT5aco1VrQ5BxnE+p1HnXc6qm/DJRw5eJVlut8hDn05DPuclE59nnAh06kQun3yOsMYzSS4f6QWP89XPV64hbZCDbXSctPqqjkwgDSj1NYBpIimgHrVFSW78wg7WbIqy/uX+WcfRJBeZemi41LdaPfrU/q3j8H57cphOX1FkM7wyQp8iO6uDMnxQ8ebWI1uOVl4OPTKYRhUySfPYNIVWh4w6LejbPf+4q7uEl1eMZP6GQQzu08Kovjs4atRGSkc1Eq1uJ1LegxVNYZf1UFrejUDgjdzZC3llGqV7kZRM93+nJ0SiLUqiOUbT6n68v3YYS+or2bS1D82JqLslNahLqg63Lv85XVkbg/PxAMh5a9YXZ5JD7TvouQe1LH3oVeui6kOTLHnfui7pldNsiNfLVxMWUItuUi+d1GgIaA9hyOOroElPkqUnqB4eBIXreiqnbwozjw0FVJbbfO/SQaSScOO96/2Oo8kOMpXfSxt6Nx1Hk4SpVOWmW7bN4pqH+2EJaOrQ85lqolZA14L5DEmdG/laSi9Dp0Xr1Dn5TWXreHO0d578Bgh6TuJz5zEXnAQ43XsPvwj34vbUXiPDLwuCXJnW41F+o8WZ0ug4dZkz9bHd6Wu6cslHs05XFpcEnOZixAabplbbkCeoDFMfDfqdHjT084HK7aQJKfjz6gE8t66UxTviWVss44ypxpmCRzUQVYfSi0OJ8826CjfM9GxIkIpVnclCq1lq+UGGbKgYImXpNEqZijMStyJsoD8be+qYKw/k8ZVnULdoM0O7GzinZhdW7XxEaStWcRsi0g2xLkQ4q7NkIoTsKEV2lSHby3Fa+rFw+2TmJUvZUDyYNruabmmRErZ5JApykoOgN+nzhQUO+gERejfQL3wJgkJtZnImCuUpGK4Rm+Nkp8NMddBXUoQh3MmTxlQnfdLF5zSZ+pXw5w1a7fH6bKCBpdHic3zw1ydNW1JaNG+oZFcj7huvalp9wiaIP0HGdk4d0NSp2n8lj7/TwPy1bazZ3E0iqeocjW8If37ft6bTc+hRw5UK5XXyNL3v5c0pTzNSTe2aQ4+OWyKloKmriOYtUZZureXfS8bRt6KdwysaGFq3k9iAVoqr24mWxCkt68GOxt2tp8IhlS4rFQ+RaC2mqyNCd1eIrqZS2jdU8snmWj6MV7O9oZR4KkTKEWS3Jxv45VuBU3WzUueMw+PVWeVpAR6rPMiJV3kssitWart4el13fgInOVweG+UwX7uok6XZxtJoN2TPJNF4lcmfxp250EX4eabLl1Tzqml0WgLqY1p1zIyLEt/7iyqTfEXlaU+p5NN57EOkQ7puvtVOL4sgmYTGjT0kpKQr7vh54dOHqj2jlefo7WeG3diq+kO9dAIbTiEkGoLymMvwxg7L8O6QJnw+MMXpAiMC/ur0BZUVOLoY0pvqmY9+HYLo06A3bxB+vm01C3v1zUYbwtX07p1GEwTJJuT2H8iVKVPPD5K/QmXkk1tTn4HCfTOIdhN+f7gQkn7lkupSSVOHYGuzrujzla+mwX3HsUYfrMlV4KqBmR5QhZRURB2KLIfmji66Ozu0q/R11ijlSpRbWAN4oRoM0sQ3hU5B1gjXL8Lx0hmNQZUtWryPD0C0HMLFwfl7AUJKoqluSpPtlCbaiToJShxJkbdVDOiRglbbosMqpi1SRke4FEdYe1zm5/ApwTj8aXIZ2N1lruzli1f/+t6lDMi3u3FB8XuKL4g3QNSGUeU9dCcFWzojdDv5+p4BjwedTbDwycKX4wThBcrLbIqLLDq6HNo7kq5DU6jc3vAksF01vHvSJsZ0KMavasR+CkjrYCGgqChBTaSTCinZpziOHenEjsURVpb3TjxEd1slW+MhGhzJLllMW3sEKS2/zvbh/xR07g6Pc5xsQzpTROBlNhLjGTn9ohUE/ncDFZ1QyKk1BXsf+qqhyUQJyu8bd/dAVqT2o5DO0PmWcUhF5jPHrDKVqdPtk3d1jKYXdSrEYwiHBCMGu2+IbtsZp609VdhFMfC4N5fj7MaKo9D+6nEmw1MwojbFl6bGiYbg+mejNHV6xmFvWt6E10RTEI0exwoZv3pYIZp02lRcvekReeJ66wR9vvLoghPvHb/2CIS70rjHTmMaR+ZvkCzn+63Kso5H/W3CYZLlfOnB32dkAZrNfR6Zwr3ZVrrfKk4hAAtECIRN8LyVSTMH1cf7NOSRWjovjeKMhWw4Y1gbB9SkeHRNMe9tLkf2tGmsUAdTjQe+IG8A1wzmHKdVGPAaaPRwZdIrdfFo0VdvMvVWy8OV42glhCIYwedEYP5O0yaFoNsuotsuoqGo1s+X3jiyquH4uRO5d0Gf6PCt7ij6SWjp9fZX8amrAyrkOCFKHzBtvzbixSyLpnRqvcB/JtlUB5Px6fUftRxfudK1uVVTQip5M5NLmj4Mcjz0ALVNdOfd16/guIMrOXpcBS9/1MzT85pIqquOmT6fDshpYwNNKn98j5KrSNX0Gm2+9kKTCy2vxlMjThVX0JgZJBsZlS/o6g6zqbuSTUiWtKLg08tSgnVzMXB1dQ8hSM/lDK0iKxO9Kj+gfYQhjY5DNW3UPuv7rcfnKV8Plnp8AB2B+Q3jrU++lWhdt5kmZ6XIlR99PFVlN2d1U/nUJ4FVHZIZ28jS4vHCy6KXZ2pzve7et7pabFqp9FayfTzR8uq2l08P5YdPYxEXALcSA6ocZh7ZwBHHbKckkg03g1T++fFk41UGSiVMx4OW1hQfVK7WgXx5TLSpcWrewg3gg91dOXM6Idm6e2X8b4O9eYtqqALEHhwD9kEh+TPJVaH8vcEd1C/0vlMoziTjCn7pQKoTks0Qb4D4dkjUQ7LRDUu1Qqo9/bcVki1uXKKeUHIbZ+y3iT+ev47TJrWQ2Qri+xc0Eqp0KcaTqtRFOt7bduMY0gkICcmMoW2cdsRORtR0Y0WKXQcrx1HU2SazuEzGniNzBz51u6l37inzwLP05/fSZJ7zUOqi05XzVIiCwxLpS3Bqsk6jySBXt40FfXuQcWa1dDmq1WCoovDrc6dx74NqiOptqfYJ73dQ+6u/1QmPoDZW8XpyGOQYBq2i6+Wr+HOcFjTjTTWwVHxeWsWYswz1TENdLMlDM1u54cAW+hcn/fXKJ8/qioJJHXuE6LTpjqf00ggOGlXGqbNrmTCulJCt9HmvHKEoo4zBqhq2mnGp8spSdb6Bx2j5c9pLt5s0/Zkjf4a2NeLK0/6+/Aov1PzCgENPpn//d8Oe0pIv339H/fKwvlegztgIcuVbimwan2xJJZ+qd1BkxotTwoUgdxus0sd9ppEmoz55VOQ4MyHk4VbLSoep46eTReGzNTL9V/rTpvNWVYa49aIh3PLFwYwbVpwtU9UL+gR1hp86//LDp7WKlRrqjHb/bmiwefCZWiwBbT2iQB5V8xs1rQFUITHRVEgzmBxBE41qvL+OuXh681uDPd1u+X955XFvrjZaxe4tqp8adDnJJ+O6LOrOmiBYrvQ0JrxB+U20Bck1IJOus+j0AKkCtAeXJZBQ2km8bzOxsA2JHhBh98kTO6blyacPPANKUaq+WUCRzeo5buCmcyRJCc+vLmdNQ4Sl24vcG1VDRVBUCfEWxTiTudtGM1Uz1Dcz0Cg0Zf4q+U0XZwRU0zdjmpMwHaZe4CAsCJe4/1Ra1bL1c22B9VMGUJOqBP95r3wDUL4Vys/hswOPz77VbyVeaGmDzmkGbefqjfNXiDa1T0Iwjpw+phqQAfXJhyeIPtXZlBLbcige2kiViBKxDE8x6fhyHGk1LQHmioFf3k9lev+NZS20taeYu6KVZNLRyjEgDmBZht6c1WHpb1Of3jJAoFmjGMtB9TNCnjbx4oWCP4iW3pqPn8P/bLACnDgPAtvYoKsg20cChs5cc81QnmnXgleOjktP5Ajt1lTIbCEW5P717Br1Rly1HKXPhyyoHVxEKikpjgSsCRp1eD4/xgyfkeNoGoncv+sbLO5/M4oQ0BUPTueC2nIm/CYjXMdh+h1Eb2/TBaUNijcZunlwfdozev9XncdU+97BK0J7iZdBcppv4kP/NvWX3Sk3yOIPwq98Op3uP28bao6yydcHRE66pCN4dX4569aXsmFXWtHJBKTibttaMbBL08lN9JkGET1MZBVwjoPkpk9KwTMbynhhYyk9joXj5QkXuW8c9jRr/TNAR2WqLPzV921ZAd9ZE3W7i0dfxvlS83iGHFlDWY3XQQB22F05FaEsPflWh1RnQKUv36qPWp4pXsdvyvs57D0IcmCM8QHGlhenhqnnegvKEAFtLvxl5KizAJnLdD2ZS5cpPSgOURAtAfmEYGd3iB892Z/WhM22Lu9GVYJlPBB/ur6FTIk8ga+938zbH7YQT0rlvggD3Zl2UPAU4pH627hCE0RiLyrU2z4fyLpe2HiFZP1z+P8QDOO9ydzQQdcJmWFW6YP6JE4mvaGcIEcwiNRCafKN277fBhvQ50RmbY2m1hQ/v28jDrB8k3JZpFHHahNGXlwvO85uOo66Sx7I2Uz62nLJQcNTWAJeWhKiM64yQic0iGjTVIBeNtrv3qYz5Quqn4lOU9qgOAN9n9XFLv/XnEeZAml6p+bTgviMnt3wQJ8GDYrTf6ty0htZVfPnk/UgWdblN/1bpiDVAU5XL2juLV6XBkfCqh0W63Z6l2apaVPgtIPT4TqPtrJilrc+kFkhFNrvgNk0y4IDa7oYXJpg/s4Ya1ojZG7Rs2z3ncOeNneVVZ35llobZFY4FJp8zh9ZB9ajSaXTdEOjaZbR50Tiv+XVwxkqhWgZuYWIXMNb512QM5EPgs5zmbKbHI7P4bMH45DUS77nDOXm8d23cu1NmOTLl7MVUfn0RNULK0RmZmVMFJa/Xstx+j8lfXvc4oXNZTjSnWTyp1f6ni/MwAtjWR6NAYk19u03upjRA2MsX9/F4tWdpAqeR9qD/ms0pnNpyQnsjUH/WUGvVzAJnlj4HP4/gAJ6Rwf9ciDvr74AJwEh3RXAoDEqUGY0mTeZOvrKpmrK5eDvhSzresdAUlePw6sLmwFIpqQvLqcfg7/83ugrBXbjjGOQ42TSMFli9h2Q4idf2sKNX99An+J8zpc/n7l83WDUyy440pDbcnpd8jmCenqTY6jXIY/EfNa3gf5fOvOY6tg7eO0SPv25RhV0mTRqGYLlUf/WnUUPTH0oSAYF5rKU304SEs2Q2OnKlc8BKUSzXo5KQxZCFhy9b5wfnNrB8fslgvGk2t3zk07cgFvre6oB66RpFiLtkKX/easl6ZW0iC358qRGbjt/K1OHdmLZHto0HiGgqBwiVVnZyNkuKjP4EKTPFYrs+UQvjbrq6dGlntFSLxDJOJhSwyOyA41XlkznDcUgVgtFZX7We+ctfSz2Bj+Z/auHed+qo6uGCS2t1wY6jgyP9KBChu/nsMegypQH3uSF127q+TephYHfMdLP4KoTFZ6s6m3v9REdL3rZSh/Qz/iq8isNuLz+4gs31FEt11hHjxiVV1BblOKnh27nW/s3UFeUUCKV5Kp69HCq3ypImT6blP7nBKTJ0JSFs6bX8qurRnLKkdWE9WFK5WdQ2R54E3XGbbZqxRQwmlcitz5ee+q0qTKWc7GsoTxTGwVlM/HQK2M3DOLP4X8aGPyEfO3peTRCSSsUubBUmcLsAQml72bKNMifb7KbrPyrwV75en8UWj6JoU8oiCxFP6p18PBYUFVu84MLBvH9Cwayz5BYbhr1mRUfGHhcAD7l5TiFeqT7BMfyZcUsX1xCd1InTDeGpfKthwUZzGg4VLx6XjWtGza6TjJ1LERtqeHJpimLwtGTYFitNOBR8YmAcL1ceu007jNYctoMSd+y3LiR/SWnTJeMG5SlaVh1J2dNb2H8sP/lBllmBeyzgb6VMHOixX7DSz9TvC7oMq3LBeTKiWbs+NIYHKaCzpqH+a8SAAAgAElEQVQuuzqk4504JBohuQtkD37ZDqLZRKtapokegW3BpH3aOf/ErUwZkciEm/Gk0hfutJjrkz6vmN1CpziLUsVD1tBNQ8oRrNwV5aNlxexsC6V1u/Snl0A4CiW17vuHmZt202WYDHHTVrIcQw3lYg6RrYch33H7SA4bJonZCo60wXTUmDCzJ1dTW1kBlk0sBDOHS86eBJGwyDq0Csk+Wkzqyzf4pWUuk89Av+pMZhxaxVDP1F/J/ylWHQeXwazR8n/1wmVIwKEDJWdMkFTs6ZFrdbLCm8zIiJjwOwvGs4Aof2VWXtS2TsfHQoKZwxwGlSmynplAUXDr8uiVJ8nKiZfPm3BRJ2ZMedV4Ly5oi2xGfnVDUmhyChXRJJcc3syp41upLEpl5V/dgu6jSYBt4LGv7mq/UPD5dEiu47R2RxcfLGpl09Zu9zH6DN90PavwRIVMm+i0KW3t20mBRo/yreoP7zbWdJpoxOboKXWcNH0QsYidrbOASMhmxqQazjlmGCVF3iydYNqEWs6cOYzBtbFMWEb56tuU1TaSMv12oVpXmeWxzsv/RiiO2kyfUMNBY6qwe/vu6//HUFkS4qTpg5gyeg/fwZZSkTvhl82cvqKGKX1M7etS7SPCnz8jI2Z7xTeOQVbmcsomO15KsmX6xkChlSddh1Ctry+d8Idl6pylqyRmc8axNZx+ZA2D+ng3p6frLKVyXlRm6VPrnkNXMNg33njjjYUS/ez1t0luPCxbqNFw1cHVpK3dggVrinltcSn1rSKr7LxKKWlzR4OMhaPFm/IT8K3mleg4fvllyZdnS7buEKzZJtI2W1ZwoiHBuYc7/PLrDkWW4NWPTWveer394XVV8N2zJGfNlCxZJWhp7f1K41lHSm66xOHtBYKNjX7aT50qufFSh+YmwdyVbtwJB0h+fnk3Oxol76/8LC53ycLwWslVZ0tG1sHC1f+NSs/pdv99hnD4fpLffLuM0kiIlxf2rm7lMTjnMEk8BQ2tQXlcmTtgNPz4QofF6wStHeCXZ5McQ0mR4KKZkv2Hwbrtgp70hX7TxkquOtuhvBiWbfDdpx2Az2hp+ctz4u4tqE47aW8Ecz9Xw/Q+FVQnvf+6cUIKSkKCzuYI81YXsWqHraU31EMmINUNVhTXeUvHVQgoRjEcFeUoNDo9dOnVSUfCmuYIr20o4ZOmIrpTCt4M6YqytqMQ9mb0vFsWNR77aNDAx1JlgFFp80B5IP2Bs1KM7wtvrrJoT3q0uJf4PPzFYmaPs5izTrCpTVAbk/z0WIfLp0t+P0e4k3am80zqYKYOamoY/nghBCeMcPjKNNjeCvXtnpGc/quvqqpnJNMrqQf3l3zrcElYwupGA48KQJEFXz7Q4aZZDut2Clbs+t9phBWF4Nrpkm8eLvnXUkFD527WUzV09Kxqm6jtpobrzp6EXONHZPrIrBGS35zmUBaCuZssEpmVIA13oe+ccmVAvIZXdT6zGbJ/fLsEDGV5OBQehISkMgnztxTz/s4Y7UmbzMSIamiZtuqq5ca7YNvyLH5T31C/DXpk0844by9uZdGqTto7U4a0aDgMxGQuwxAKT7R6aDzIhuu/NR2XrkNVaZhfXzmZUw8bwpNvbKS9M5FJV14S4vqL9+M75+/PQy+soaU9ARJu+vJEvnnOBBYu28Enm7z7Czy9qilIkS3LrGP9cYfsW8tV500g3tnN+vr8k84j64q56vz9qIpZbNreQVzd9vcpYVhdCb/+5oGcPnMYHyzewbamns8M9+7AkJoizj92OA1NXTR3JD81PiHgytP2obs7QX1ztk6HjK3i7u9NozgM/35/uzFvUdji8P36MHXfGg4YVcXsGUNYvbGZ9u4UIJg8ppqrzt8PmUiwdru3+8mTX72/aLrBN5Gk9xGZlWkVl4pfSqbs04dvn7svg2qL+Wh1U64boZat9lnd3jDpLJ99odIv8Pc3w7isxguBbQnKiiyWrutk3vJ2GlqSZPqOPo77CfPxLTxyF9cdfbyxrTz4FO84mpRSrvVjCYiGJUJIhLANOKWWN1/ZXjqVBhmQTsUZ5HjC31+zOObgFL/+Voroby0en2ulnUfXQJo+QfKjSxw6ugT3vqgLlkpLrlMKEAkJvnWyw7fPc4hEYMv6XfziiVRBtzsIwjaE0q0WDrslhmyIRd2waDpOOJ0UhyxEqBzHgZ4knHGw5MdfdYwtp4LjwH3/ECzbIvjJhQ5vLBDc8jeLfhVw/lGSBZ/AA/8uhGUvwh44jZOHwgmHOjz4ssXmRn9c2IKxg0KMHBpl4UOi121T10dy3cUOWxrg3J/a1Ddn4yYMl/z6qw53PCZ4aRGMGACXnyJ54HnYVG9QUD5wKagokVx9rsPm7fDSQpvWLjf92AFw2YkS24LH35ScPRXOO97hnn9ZvL5IkEiZ+ovMwQ+4N6OmOjCfF80n33of1Af3oL6YzZeU8ObyIuasLiKR1PtqEN0CSEGiwX0uxYrhU4iqUgVtEFFRpfE6EmFBxJLEbAhZ6QfshVK3HMNEumcfo+UgyyDRAclOcFIKuzzDmiwOn3Om4PKMdj0+M6jp+ASEYsRixVhpZWAJ9xx5UQhKolAccVd0Be53Ir36mUhBVURyw9EOM8YE8Tvb5ut2Cm74t8U5+0sOHObws5cs3twgmVInuHhKirfW2CzZJhldA98+2OH3Cy2WbHd159gKybXHONz9psWCnf4m3KcKLjnQoa3d4oU9mISKS5i3XnD5DMFNsxzqWy3mbPvv0Ul9i+DmWSmmjfz0uG55VvDkSitn0VmHc8dJvnusQ1G4EEbJk/Mtbnnboq5I8qtTHfYbGJBU724B+EBw7ZMW/94AMj0RLJBMroNrj3aoLYe56wXdScll+0u+cbRDqBerK79+QfDQsvREmH7eV+0LPnKU/qk7Ppkt6Up6/RZh01ZNL126zF09IW6cV0NKCjqTlvKkDrmOi4dfye+mzePAA/6ta0o6B99FROGwIBa2aAsZ6oDOB62wnBUVnQZh/jalMTqnwv+ZKU9iWYJI2Ma2BcVFNiHbQgiIFYUoidkgRSYsGrEpiYVASpIp6Emk+PnlB3Di4cOxguhS4IRvvcDJh/Tn6xdM4rzrXmfpuibGDCnn0pNGs35tPW8s3hWYVwg4cnI/vnb6WJ4sD/Ov97YWLE+HaNgiFDJv5tvVluDNj+q5+sL9Of6Q/nyyrdOMREIi5RBPGPcvfmo4eWp/rv/agYweWMotDy4mkZR899zxnHn86N3Cs2lbG9feOZewBd+/ZBKnz2zmB799nwUrm5EShg0qp6qiiM3b/RcZHrJvX+67bgbg3jFQURwmZAuEgMaWHt5fvINtTfUgJCMGlnLJ7FHUb23ilYX14AjsEPz+moM5ZNKggjQ+/sIn/PThZT71YVsC27LcbmeBbVtYQjJxSDknTBtARVmUMaNqufC61xg5oJiLZ4/m5Tkb+fMLq4P7hjfW+yZX8OuAnHchtXFX7bu+CTDdtkmX4+GT0NKe5I7HtiEt6OpKZXFlysRMu1BoUO9nyAO74TjqlfXVLjDPvgNTXPeFdiIhh4vuqWRHa5CBGWTs6mWYwoNoUOnNpo1FYL8REAlLegQ88qLgm+dILjoBdnQ6JNN9tbwY7vmOQ1FEcMvDgkF9JYP6SpIpwQcrIZHU66KXLfnCwZKvneWwuR462ndx+tEJ3lxk894KU57CcO15Dped6GCld39YAr51vsM3znOJ9sKuOc/h6nNbKS5OsmFbBZffbtGTgF2t0KcERg2SNLfBqq0uDUNrJXU1sHaroKEVuuJQFoPRg2DFmt0mc++Cs5uzdAKm7is59ziH0hj8+u8WuxR9XVMBpx1ZzOYdgteW9b5NNu0UPPic4OoLHe68wuHyOyxaulz+n3Ww5IB9JHFhkXJUOdE7pT7xkZXl2QdIhg6Q/PE5i10t2fz1jW6KsvR9Mc98COfPggevc3jqNcGvnhSs3VHA+XIS7huYme2oQXJsUiI6TlNZeh/XwyWWgH36OYytS7Gy3uKjTSEDrToNyneyGexU+uZVzzFUjCeTmvLNkrt/w7bkKxOamTEkzm3zK3l2faliY4lcXOA3QMOl7nMXqQQku9wVUY8GSyhnbVSDVqmH/ltNK9JGqGVTFItSJmLYpUXEEoKV1yapLXNni620k/jClamMj+ntpFn7o+yM8n2vW9zylkVrXLCrUzKyCqpLJKsaBE3d7lbD0TWu87xkh6C5S5CQMKAMRtdAWSSNVN2Ha7nnRCcOlTy5r8PZf7EIS7h1tsOIvpJ/LYYFDUIz2gsYsQXAkfDWFsFvXhP86HiHmaMkC+sF3anCeT9rcKT71NSuTrdOgyokQ6pgfYNg625e/NzTS/qrimCfGsm2NsH2gDIqimCfGuhfCkj3MqqW7iydJhjdR1JdCqsbBA1Gm1Zk6VTQjKoU3HKsw7gBkltfsHhmDUgEXUnJrk5BgB3tg+6U0nfViRQvzGj0ePFp2oQSLjE7kx6Y8PsMPjesJOQwa3AnzXGLOfUxWuK2mR5PT/gMvnRnVFc6c1b5NZrVySp1RzyCc4+q5cyD6njkre384bmtxONOcB28MJVX3llENa4Qj/2VxNdn8+LI/h3Zv4T7fjiNQye7hr4lXCfh47+enkHlhT30s2ORgONIHntpNZfe8g7tnUkaW3roXxNjxMByVqxvYlebu2tr3+GVFEVslq1toivhICXUVBQxbnglRVGz4NVURBg5qIKwJpiVJSHOP2E0JSURNm9vZep+fQvww+XItoZO1m5pIxq2eOD7B3PmieMC07s2muDGb07j+m9MM6ZJphx+88gifvz7hQXL3xN4+LXNTJ+yiYtPG8eKjS389ZUNdHQn2dXqt62G9i1mYF0p9Q2dbNjeQUKb0Wpu7yGZcli6oYNf3D+fW74xlbuunsrVd85H2DZTJ/anvCxKQ1uKGRP7AZByJDXlUcYNr2TJmiZ2tcb5cFk9Sz6pJ+U4vP7hDhauS7/P7Xj2gyJT6b4wpF8pQ/oVs2pTa3p1Mg0SEJLKkgijBpfTv092511VSYjxI6uZOLKCmRNrCdmC0tII+4/pR0VFEamkQ1NrF9KB1Ztb2Wdwmb9slD5kMvkz9ocpXrNRvDDUMDUObcJJ7+dknT4BRVGLYw6swpGSuZ+0sW2nuhig6SOfO6fTVXhM3sNbQDQicsKVAiywS3oQESfgiah8jqdekYz1V4C+fE4uDKyBx29wGNDX3wmOm+5w3HQzxvuvzaZtaROMv9SivimIFjfttPHwky85dHXDj+9uImKn+OGl8LXTJJsfsNi405C1ALyzWNDZYyEsmDRCMn0/yYLlgnnpraoTBktmHih5b6ngg5UC6KapzWJ7UwUfrhE8/YHNcRMlf/i+w0tzBZff5SrOm89z+PLpklv+ZPHYWy6uUw4tPPPwXw5OD72ZEfGBhAdfFwyqszj5MElDi+S2f2bbbVg/iwn7FNHYAlee5tCVxy+tbxQ8865gW7PrXD/4qsW+I+DE6Q5fXCz47XPuSs+MAyCZEpx2mGTqBMn4YW7+L82WbFcmPKWEhasEz89LE5qWp7IIXDTbYf1WwdzlgrgDuQ6bG9bVI/n6nRa3fsnhgtkOtX0E37rbYmuzP507o+S4FyjJHvz9xNSn9T5UCFRHz6PVNOnjfocsycyJnVx0VBuPvlqVdhwNNOdzVFNtaeOlTEkqs8m8sjMHxDXjSEqElMTCKcoqewiH0yvyGYdRdTIxqBOR/Q5F3H+ywr1cyIm7T4tYSUgqW1pznEY9XIAVAhECOwJWBKwQpWVJWlNu+qQjufMdi+Koy+9LJ0uiYXhuqWBTO5SFBbPHOAyqhrvfs+hO74z/YC3s7IIfvGQhgDuOczjlAMm1/7J4cQ2M7gP3n+EQEoJZfxJ0Jj1eKY6ij6/un6U7BT/5t80dX3D4y7kOuzphVF/Jj561eGqVP21voX8pnDxO0rciWP5sC5o6BYOr4ZqZwbPzW5sEf/lIEN8LjmVDD3zvBVePhgVcf4zD1TMdfvqsxcPL98wx7g10J+D2ly3u/chcxpHDJA+cnd3OuL0bvv5UgOOE2zz3neRwymSHG/5t8Y8lmJ2jjNPj/h5TJbj1BIcDhzv87i2Lez60Mt3k0aWCR5dZuQ6cydHwcIJh/imADpV4Nc7LY3KEdAdLNcRkbnxNUYofH9vAmu1h1r4edh3HIHw+OvSCPWNPaHxU7Aif8ak4lmnaoiGLSAXYUYEIql+mcJHL73zJdaPX6BzrOJQ6q3pNS9fYnuDhf6/l9UUNxCI2sw4ZwKihldz71Apa2t1Lz06ZMYhRgyt4/p0NfLKpDSlhySp3sPz5Q4v5+cNL+NIpo/nNd6dy/Z1zeGreDgCeve0YRgwo44s/fJnV9d1EbLUdzBWeOamWu649nOqqmDEe4IYrp3JDYGwWUimHe55YxlW/eR9wnUIn5fDoy2vZuH3PLvFzpGTOx+atnZ8FtHYkuO2RpYwbXsW1l01m8ZpmbntsObc9tjyT5uBx1dz05UmkUilu+v0C/vH2ZjrjwTr2wZc2Uldbyr7DK7l01jAuOn0/V0aB+248MpOuoyvBzb+dC8B3b5/L6x9sCybUdCmNIlyr1jfy1Z+9y8K1LVq05KhJffn9D2f4co6uK+alu08gmUyxcWsL3T1JaqqK6VMV4/k31zFnaQMr1+0imXSYu2wX9S1xzj6yOJcmdZIHkStmPvNH6QzGSaM8/dOkJ332SzZPRZnN984ZTCLpcN0f17FtR9xwi42hPxv9pfzwGV0fqRt3WUNx5XaL2x7vg7CguSvIydQJ17mXz7nsTTqjxccrcwV/eMGiO56NqymX/OAcSU8Cfv43QUd31kiNhSWXHi+Ztr/O3Nz6Txktue1rDiMGSm65p4nnF6RACsYOsTh3lsN3T4eb/mLRZNAr08ZILjrRoTgGQ/q5W1N/cIlDYwesXCe461/uytYlxzgcOFby3keC3zzrSsj50ySHH5Di7Y8F9zyj3Esc3nsGzH8p7O5qYxrau+APz1gMqklx4YkpNtbbPP6uO8N51hFRykolpSXwvXODO44QsGSVYMFSm21pp2xLI9z+d4sh/SQN6bDRfSUTxzqUl8JXT5GZvABfPcnTJunqOPDA84Ln5ynn6oBZUxzGDpM8+YbFx+tAla+dLa7/UxyGkoikIw5bdwl++IBFacxh+TroyLApXZZ0XCcr51kNU98N4kGA85ZX2ehOY7aOEtjZavPJ5iiNHSqeINrMeHA63L2LsixrwEkdVxp8Kw4umrgUPPJJFa9tKGNRYzR9WZpqBCm88Rm3hnp7Ct4KudtZQ2nDJJouTybTDqnj/vZWVqx0+wvb/ZaSkCX4/jSHqWMkkGJQFdSUSf50oUNnEv461+LxtGNy7PAU5UXwp7kW720V9C+WjK60qC5z+OVr7sqhVGkEs+HtY3WAzpCGbwnvbRQ88I7FL85MMaAHbnnJ4rHFguEVkqtmSIb1kxmeDyx1dzRccLDDIcruqPpmwW1vCZbtFPQvlVxxiMOEwYUHs1H98qf5YK3g8cX2XnEcVaiMwrAKd/vzm1v2TOdWx+CaGQ4ThkhsAeNqoE+p5HdnOrTHXR51tO05jYf0kxw2QvLIx4KtATvlgByn8rxxknAYnlgGHekJhYMHwM3HO0wd6XDfuxZ3zBF0JgxaIWcLtua8ZUrx4tXyCxlPBgcHj4CgOINzGSBCCQfW11tsabGIO4bydRp6tXKn4THl0Y1JAU/P2cWi1R2s2dpNIumY03uJc1YDFVw56b3ylUQqbZnfGr1CZttKCL544ijOOWYEkbDFxJGVRCMhHrrxCLoTDo++uIab719IVWmYQVVhBteVcsfflmScq6E1UfpXF/P3F1fx1LvbcptDd0yDoBfd7u3Fuzj/+jeIhLOTABUlYW756gGUl0b50T0L2NrQuwv4pJRs1Jb944kUf35mJW9/tKOwKBhx7n6e3YWl61r489OfMGvqIHYo5xJjEYtLZw3n0tP3Zd8RffjTP5fkOI3TxvfhsIl9+fVjK0ilVyG7elLc+cRKymI2sajNh+va+fFlE3l97mYeeX0jqfRZ0WRKUhqwEqzCrVcexISRVdRVxygtCXPpGRM4YvoItu1o49aHFgMwYkgVv/n+dFo7c89pVpdHqKv1X3a4ZGM7p33vZZIph8bmLnAkl5w4kisvmMQzr6/ljy9twNEnl4NAN0Vy3R//RBDad2/cGnVSK4iGNKRSsHqr+0RPV8IJvvpUN6dM+rUA7OYZRxNnTH+zFDZ1Wsxf78b1JHQjMgh3Ts20b4/jJmPTX77/r5++LTvglQWC9syROcHgGsEVJ6bo7IZXPxA0d2TzlEUFx0wE9tfxZ9NEbMHh4yV3XuUwqJ/kjgebuOOpFF3pGf/fPGVRUyk5cYZDIgE/+5tFszZ4lxXDiP5QWQ59yiSWBQP6Sqrjgs42yTWnOZxylENRFGIRuPIch8tOczt1NAzhCFx1tsMVX3B4b1ERX/tdFSVRqK4AYUG/Pu65yNJiGFrnlllR5s7e11a6YU6K9GrG/zD4FM+XrG+A/3zM4u6rU5xxhMO8T2wiAs44LsqCpYJr7rFYsVVQV+U5aIJk2tCcNlrywI9TbN0F6+v9eD9cDydeZ9MVdy/Tu3iWpL0LvvILm7eWCSIhybdOllxzkcNx19gsXpuVYwn0+I4XulupvzDTvS3ynY+gTTvS2eLqOyqKobIYOhOuYdkTF1z1O8s9M1AOSSno6JJph9E7VO5B0MSNFyfJPzoXcupM/dKfPuEIXvgwxrvLi2j3jdEmZ1TXzlp8sgPiuM9mgN/o0avnjcrps0hSCpY3RVjdEqYzZSEzW1GEP79+7srDAf7nLrw86s2K3rkoK6yw13PqtWo72ToOrIBx/aA4JCmOuH10VC30JCVT6iRfOsRh4jBJRdQl9+krUnhjRmnU3fGx4toUTR1wzdMWz66wqCl2+7YQrvNmW5J+ZTC0DwyscHVISMCQKndVvTvh97dz1LwjsS3BkDI4dry7zbW+VTB/o6An5a6eTxsqGVUn2Zm+3KUk7J7RrSlzz20BVMckDVXwx/fd34vqBTPvtwlZUByC0qiktSd90U8BqCqW2EB73E2fdKB9bzz7qkGfYsmwKmhoE8SKYKh+rN8AjoRNyu6AsAVDKiXj+rp8rymWhGwY0UeScARltmRVl94IQaDKq0DgruJ+5QiHWNji1+8Jukz81LrX2Cq4YbZDcycs22kxfyv0icIlUySThzjc9pLFL+dYJJKSn0x3iEbh529Zyoo12kSFwfHLUUGycJ4cuvXwPIaaCZ8+YSQEOzrDfPvl/vQ4gvrucG6eIOdPgHujoVauyZkNokVz+tZs7mbzjjg9cQfHIZgPQTh1yHHglXYwOrM6bn+71VbGGDeskpAtqKqIkUo5jBpSQSolqakq4sn/OIYZE/tRUhQiHLZY8OBpGcejNOaGPXDzMdyTcLj57nf53bPrqSiNUFkaAQHVFUUIIajtE2Nof9cpiEVDhEMWA/uWkLBDiF54Xdsbu9ne6F/pOv/IQQzoV8rD/1rOk6+uo8XgjOwuDK0r4dXfnkBpSe+NqbUbmzj6Gy/RFf/05eeD7oTDPU+v4YHn19Hdk6K6PMJ+Q8v49rn7cvjBg1m5volN21uZffhwXluwjX++uxUBHD2lL7d+/SBq+xSzbE0Tz82v5+unjmRQ32J+9pdlrN/RgyXgwNFdhEMWf/r3WlZuaqOjK8muFteYOerAAQXpG1JXyrhhlRQXhbAti9rqYqJFEWIh9xwpQFE0xPCB5cazoEURi3DYr4A74ylemrs5MzkVCQsamjQDq5DzFNjfgjKokzEmHL3R5Uoa31uV2f7X2Jrkx39cj0SysylpzOrbQYVft2RXQAvDHp5x7H36fepSXHBEG7Yt+Y9/VKZXFjDg6o3DqKcV2vfu0TtiEJw9U9KdyJZbXSapqYKeBJx5JHT2ZONiIcnoIbqzmI2vKROcOd3h2gslRVHJr/7cxB3/zDqNINjVDj971KIn6fCFoxzKyyS3P2mxaovAu7zrxYWCFxfaDK2Fu76ZYtJYybd+afNOesvXj85yiEVg4UrB9iZz3apKYPrECHV93WuQT5oi+e21KSqUCZizj5OcfZy/w93+7RS3Azsb4YU3P+VrLXsD5KdQphIWbhD84iGbhjbY3gw/ucC95e3OJwTvLheUFcOfr3HoScKFt9qsdXfDcMBY13h7/QNBo+boOxLa0o7PvgNh1jTJkjWCVz4UtMUhGhJ0dUuSSWhud8+ZupArn7aAcw6Doya7/TiVPvdjW5IpIxX7SsDwAXDBsbCjFb54ZPbSoyH9YVB/yZdu7eLRl7rwvwuhO4VBfSifY4mWLsh51PPmeHBYliRiSyxbULiMIN2By5hkB8QtiJQq1RMKidqMtQAsd8vshWOamTiwi78ureLdLcVI9YILo+IVZK77FkJxKL1yZfadJy/eY3uGDJFbFaU5kg5c+ZyA5+DLEyX/eXaKuWsFlz1qszl9PvGvYyTxHvjHSoG+AOHB+GoYWi2JhAQRS3LHCZKzDvUnfuB8fSlOsvgaN82LHwv/m2iacW0JwWGDJDed4DC6n+SxDy1O2c9hymDJvC1WpsIvLbI4/x8WiRR8cbzDbWc63PWGxU/fsrAF3Dvb4fCxWdxJB1q6XdadNFbyzZkOt79t8bclWV1pgrII/PAIyegqye2vW/xzze6MW58OSqNQXQp1FZIl1/ROV+1oh8G3hDJs3d4BFzzuGjyVRfD0BSmG9YVZ91ss3+nW5WsHSE6z4eBhkvYANT2uRpKxV4UrzxK4ba7FhIHw7aMkn+xyeGKpQOqCqDgPg8oFt8xyqCyW/PI1i/npS4ga4/DwR/DmKpsnVwmSKcn0gfClwx22tQqeXOKeO/VBPkfH5Cjqq5Ren8m3ghl07s7S4gTK1nWhTBJpTpuQhBGrdi0AACAASURBVG2JI0Ta5tLKUldB9ZVHvR4Z5qqGm1pvmaXFC3PIvN32hRl9OOygCl55v5ln3mwkkZB+XB4OVf+Z+BvEr5xVXUOezLdXl2zc7Y8s5vZHFnHgPlW89NvZbNzSwglXv8K2Xa5xfsphQ7BtwROvrccPXh0kQ+tKOWjfWooibh+44rQx3PCVyT4n4Hc3HIUOr9x3KgCr1zfyyLMrc+Lzwcj+Jfzgy1No74jT0u0w+/ChBfO0t8d5Z9EOGluDZ6Q6e1K8Mn8rsWj+W6wOm9SXwXVlJJMObW3d6SnlvQ/xhEMyKTlpan++c854DphQx46GDu782xIefm4VFx03nGu/ehAXzR7Nmk2tjN+nhp9/bQodXUl+fPdcnp1fT0nEIhYNc/Gp4yktjXLrQ0toaOnh1CMGs2pdE1t2tPPBw1/gqTfW85WfvdNr2i74yesgJWceNZTfXTudX943n18/uQpwjwOBZNmqnXz15++wcE1rdowXgCM4anKtslVV8RfUMUy3C8DcBzKJlf7pxWcmjNPJ1H6B+q3ol2xh+DJrP7P5FFvBMucRQDjk6nLXHFEJUnSCjk/XOb2YeNmDraoq0XkYkP7uX+lw8owmQtEEdz1boTiOJlzClzcYfz4jE0OcmebDpkgOmxK8d+me75rjWnzbhARCSMb2h2+fKTl9pkNHp+C6O5v453spWjslA2vcWzA3bYVH3xBs3iW47QmL7h7JaUc59Kt2eORFi3/M8Rt/VeWS4QPNjdjSLrj3KYtXF5n5MGlYlAMnlGd+f7BWcO0fLCJhOGAEnHmUZM7H8Ox8N/9JB0qmTYIn3xB8sBq6uqEiKjjuv0iB9Qpkkl5PieSBZxa4dZ40VHLUQTYbdwj++Y5rfVkCiouho9HdRgowop/kiAMkXT3w1HtuugOGSS46SaYVGKzZBHc+ZdG/j6S7Gx572aItM564NHf3CFIp77fuTLl/+1XCaYc7VFdK2jqgrEjylRNg0hjJjHFZnVMShfLBkp9dkcJxYNV6QWN6m//S1d38/OF2FixzKNy/gvqZCYLygL8+hfK6ELbghIPaOWlqG6+814f734gFpDU5jRotnlEZb3NX9eyIEk7WODSQGhKS6YM7mH1QG/O2lzBna3HaMdEMQJ1PqpL1nYX0DFE0ozad1ffepIIrU5ZWLyGYPMwhElLSK/Qs2Si4/HFbWVFTcAjB9w5y+N4Jbp6kFPzpI3h7uyu4lx0gGVAJjy4UrGmG2mK4YJK7WnfXXPds7cYGwUX7pwfNzMCX5asQ0LccYjbc8pLNi6sEk/pJjhshefhDAkBvz2CQEhqTMLo/nDXB4ekVttK3cmF0H8mkOsnwfpLGz/bVnoJQHHV3iSxYK/jr4vwO7sgKOHeypDOPWusXg1F1kqSTy6dICC6e5nCx+X4NBVQjCFp64K53BKP6Sm4+3mFTo83crRibojIq+OahDseMc3h4jsWTi5TOIwVzNsGcNN5RVe450+Iw/Pldi337Sy6dplbMk0v1hpZsXMqBl5ZJXliteMKmFa9M9xC56fTzimqc7uggfDeWZuVa+nDXFSf5zalb2bA9wi/e68u6NsUJMDpbWpypHhn9oMcp3xmHN6v/Jo8s5cwja9m5K8nzbzeSMDrhady+l5oMeDMWpwGHyfHMcdA9smT2NyCE4ORDB1BWmp61yLxj59K2dWcnF9/0ZjZMK/7so4by2+HZyyZefn8LzW0JIhGLWYcM4KiDB3Hz/QtpTiu8r50+luqKKH94Yhk72xK0d/QwtLrIX488UFUS4qpzxzNqaCXhkM3VF04snAlYs6GRC65/M6/juLOpmyt+8R4Ao+tiHH3wQF6Yu4UN6SdBKmI2pxw2hIPG9aGrO8HfX1rD/U99Qjyx9/bUf+mUfZi4T3Xm99+fX0nfPjEG1ZXxl2dW8NRbG3n1wx0cc2AdZ84aTU9PkkMn9edXVx3KhFHVLFm1i1899DFvLGpASkl7T4p7nlpJbWWUi04dSyLhcP+/VnDIpAE89tIaNu8M3g//jbPHc9rMYb6wVMrh2bc38uqCbWnZ0W0XMmGD6sr5/sUHsFNvAwmDamNUVxVr+byfyvgcOGkG/htQRVaWTX3WZx5IQ78SBnk3jINGk0x39vD/llBVEeKWrw8llYQ7HtnC+8vb/QiF/q3Tb6qbGT7D5zjMht36nTb3Pd0P25K0diuEZ9KaXGxhiAsqN9gIN9OWLedfr1v8x+OCTuXYXF0V/PIrDt09cPV9Fm2KzJdE4KrTJcdmLo1xHYdLjpJ85zzJsP6SlesEF/+8iZUbk+nzNILqcskFxzgsWCx4/B2LnqRkUwP84jGLJWsF3z7X4SeXpTjyAMGfX7CYv1ZgCzj5IElF+tjWxSc61L5v8dRcty7VFZKfXe7wQ8ORv0gkSr+acgb2lazY6KZfvR1WP29REoEh5zuEbMmfnrF5Yp4b37/Y4YCxkpfni8zlOLMPdp2lvbxjwgfhkPvkiAlkKtkbO9MHjnTpVydRTpgkqe0DT80VvLsowo5mK7OyaFvult7uHve5E4DJo2HsEMnL71msSZ9XH14LFx7nEA27Btx7Hwvu/hd8uE5wya/ci5O8i0uKwoKqUnfFMRKG4qjmuQDxpEBKOGu6e7lRj/u0FV1xwcRRkvOOkny4XLA9PYNfGoNQSHLzQxZzlgs6uqCnJ4lMtJJMxmloMylb1eEo1J9747zp4SY8pv7r/raEpK48wYSBHXxcVqmkC6ItD01CuIaSA/Q0Q6zGPWNovF7aMyxd5Z6UgmdWVbCyMcqibVEya7deGu+HRXbgyKDSla1qSGqGWc6WPCXe28qq4xOCSX0lhwx1jz6O7iu5/mjJLW9mLxyZOkby3rdSgU841MSyESlH8vJawctrYXCx4LvTk3yyXfCHdy1WtcDoSsnRQ93zlffNs1ynxpF8YSx0Jch1hKQk5QieWQlzNtvsaJeUR2FNPew/xJV3H/ul3oaFQQJLdgpWbIMZYySjymFhgzmtAEbUwqj+kg/XWszbvpsK41NCadTd7fH7pYLfv2eRzFPNGQMls8ZI81bRNJw5zqGm3N0dEbHdyRZvV1Z3HP7zZYvHV5jreNAAyc3HKxMbadl0ELyzCe59V3DDiZLrj3W4/AmbzdqRroiQXLK/5JKpDvPWCH72pqA5mZZvdQUdKAtLrjhYcux4yf1v2jy9QnDDsQ7nHZQjMID77E3Edp+H8eoTT0J9o8ULK2XulnB11T7z1IX0P33hpfOKUfuUJ3Kq46OH6dva02VHbMl+tT2EuiBqO34HSp+lN8WpdZcK7qC0Iv2fOu+XJuy1JS20OinmLGpLnxlTcProyPyn8V7TRfq3Dt62OHWnhQeqflSibEtwwuHDkUB1ZYw/XDuVH941j6XptxmHDyzjo7+eZi4P96xhxulE8uEnu/hwRSODqmOcPLU/G7Y088DTn1CfnhWaPW0gIQseeX4lq3d0EQlbXHXGGDq7kzhS+gd/DSwhOOXwIZx57Ci6upN88z/fYu6K5sD0AOGQxS2XTWD0sN171P7Lp4zmsjMmcNrMHVx1x3zqG7v5wfnjuODk8TjS4Sd3zeGhlzfSlG9W7DOAI6f055TDh2LbgmjY5uNFW3nklfW8+sEOGpq7EQKuOnM0l5+1H9GIzfV3vselp+/LkQcP5pGnl/GDez+mvqk7s8UYoL0nxW1/W4YlHBZvaOf4g+oIh2wWr27Ewd0iH7IFxUUhpNIexx86iJQjCdkWkbBFPJGiszvJ+i2truNoZduvKGxxzmEDGDusgvueWwdI+lTGOOmIYe65RA1sSxBJb2n1+sjvrj2Uqfv393W1mgpX1n7y9UP4xkWTswjS3aWiJExVRREnHj6Mjx7x37L7Hw8u4tGX1vjzqJPKqnMnUPpSOkDRodmLgDR7x3Nwvf7mPa+h7WwIWxYj62IkE5KSqJ3WH6o+UPRbZgeRVEyytM7ZeyuOHugGpBeWTbOuQXDvqzEE0J15viLIWTThMsXlGt756VXLyn43t8LyDdDencXf2i7p6obObvhkA8oZR0lZVNDY6jdaZ4x3uOo8h3AY7nzM4u4nGtmm7i/OoTFLf3Mn/OUtwZKNFt86QzJjokPfKofr/2yxZZfgyMmSljb3LGJRBL52qsPOZjuz46azh/Rj8lmIRKKEY1W0d2VXzDywLTh1uuSLJzh8tFzwXIGH7p+fL3jxMts9vgXEityzkTrezxJ+eLbkmgtSGadNhY6OHtrads+L3bhVcPntFp9scutaFIKzj5aMGSrZsMPi2j+HEcoBrv0HQlWFJBwS1FZKNmwXNDXB029b/PXF7AUj/1wgePq0EPsNhnu/584Ojh0k+cNVDlP2zZVLy3JtnHd/mzL2y2vusXjlfcFV50ve+1hQWgxjh0mSDnz/XsEP7rORUiBxN5X96TuS46a7216XrnMg1Wp431LvK4UMdjWN7uiZ4vP1RVOf8+OKpwRPz6tg0ZoyNu2yA2jVw0z40wKakUsJ3Y1QXJtVkgJ8npVimCYcwVPrywmtLyXuWEjP4ATFqZP+Hb8eeEarpeH38mZIymfkKnHSX7YlJQcNllTFZKZPHzzC4WYL7pjrDorJFLT2QCqgX5aGXKfDxe2+29GvBH46y6G6FO56S7C62TOoNTanB5QrngZhWW4ZAspjMj2GuQZ9VxI2tbrpa2IwoA8M6CMpDUut2fbMkdvaCs99IvjBYMnFkx0WvmTen1lRBBdMkERD8MRH3m3E/zUQtWDmIJcvH9ULo7j40qcnneoDLroptmH2RHfTmm3Bw2c7vLVa8Mt33a29joStLYKlAc5xbREkPE/fN8MOPSnB3e8LZoyU7DdAst8Ah82r/TwdVCb4+pEpFqwXfPtZi+2dioOTSsusEEQtydn7wpdnOOxsFdw2T7CtC77+jM03njE7KFcc7HDLiQ53v2px09vZch3T+43gP19scsp8DhlZR1ONz3HWyOIDxRlW+rEQbO8Ic8XfB9KasNjSGfbnQcPhU3s6nYrxZ5ggytLq6ZS0zvMMOgtendfMmx+0kEhKEt6TKKaVVyOoZSh6NWglMaOXlKzeCkzO2cgs7Sce2JeRQyvZuauDnkSK4QNLufnKg/jqre7Km+PI9E2qZgjbFtI3dkBteYTvnDWGaZMHcddfFtLWkTDXVQjiScmv/r6C255YSSrlEApZlBeHsS13O7XKqmOm9OO6SydSWhKmsyvJhq2tLF0bcP4nDZGwRUvb7l/Sd+ODS4lEQpw1azTP/PpYtta3M2FMLfM+3sG1d85j0YbW3tjsnxouuekthBDMnjaIh246AoBEwqGrO8E+Qyu46bL9OezAQSxYuoPr7poPtuCSNGH9aoqpLI3Q1NZDKu4ndkdLnO//YTESyb3XHEyfyhh/+MmR/P7HrmN4waxRnHvcSDZsbuXK29xbVb9wzcu88eF2zjtuOL/7/jS+esNrPP7u1oyNaVuC8pIwliW47Mz96NOnmOfeWINgHUvXt7K5YQW//utiVm3Rb5mUTB5dyXcv2J81W9sz8tvRlaSlPa50eUFZzHWDunpStLbHcyyZsC3SCxBOjtz26CvDqkOYmYDW7Bh1xw4oOwp0efaIJDuBk5l4zu3zja1Jrrt3A46ULN3Ymd5xoOg5RNaR9MqUmo5SHdI8sJtnHNUK6cakbtS50L9SMn1UEkvAMx+Faddve8wpw0S0yZDEkFYEhJth/30k15wL8f9H3HvHWVKUC//f6j5hct4Jm3dnNs3O5pwTOaNkUBAEAUUFQVQU0Qtiuq+Ra4BruoIoIhmX6BKWBXYXNuecd3I8sbvr/aNPn1Pdp8/swHv9/erz2Z0+FZ5UVU89T0VlWri0AIbU2LOfd1zmPv8Y0iXTxjuOr03XG1sE9zyi0dkteGNDOwM7g6coRQkb9gu++HPBiumCY+2w7bDg/BmS0hLJnoOCyeMkf39d45qzLT53vkVzC7R3Cx74g2erqghD0J4FmzkK/vQtd6M+f47kR7dYJJL2JTHxU9wzIyWcPVvSNNq+qGV6PVSWSU62fjzjbyChvQu27REEfFYde3stYrGPhru5DZIKnwsaJdMnWLy9QWPDXoG0NNci0umz7CGrsECybCK8twNe2yp4basbr5S2wW5aGTujtRv+51Xh2T5sP5Nw4VzJoHJ4fJVInXF0K4/1O+HWcyW6Lvn1sxoXL7UdRwDLEp5TioKdhwSXnimpLuxBM6KKz+LAzeXI+TlxTro3r1/w9nty5D11nJSSI+06bT16atVlIHD6cYBVkizD3rYaLFLehMPXiNWFZFFNHyOKkrzTXMDOrlBqgUZ4xOIoYanAUHELZRuqY7ArpFpKnOpkZq0UpAVERb5gRYNk70nB2MGSva2ClzcJbjvdInXPAGv3CC77m7NVVWZVzV2zJXedY6XpryqA76yQXDzVYtUOwZNbhO0AukTqlm8wILhtoUVQs8FcMFXSG4M+z1yFpgm+vMBi8nD7THB9EZyMe8BKlcCBhbgFaw/Zz+Asb5QMWQ1ZtgJQWwDTRkgOtghe3J/ty/87g67BiHLo6BUc6jk17ryU4+i9/MoJZ46WNFRLTnTYE4c7TsInZ1jUV0t2Hxvo+fMcshb2E2kPvKIxtAJe3COych3qhTue0jjYI9jT7nV07D/5muSqyXD/+RaFedDRl+JbSiwLLJfjkXHMHNlYFhljPmtFS/1GcegUh8XtX/gbPV4nx28LqdomPc5c1BS821yAIQXRpOaGiweWnyOX1gEeYnOt9KVpUjpxygme0VjMhMEFbDnQx/pdPekz8Dl5dsq7Vj5UvabSLD3qXTFcUePJpjsVXxDSOX/paDq7Yhw+3k1ZcZgf/nEj990yk69cPoHSwgAHj/ey5HMv5KT7shUjeeirmf3XZYU6d1/dyI2XNPH2+qP88aX9RHPNCKXoqC4Lcd6i4VRXFJAf1jlzdh2hkM7Bk5ktZPMbK/nRF2cRiRls2HqSiWMHceU5Y5k9rb+rhu3H4hvHVPWbx7RklhMYjZt865GNrN3Wwp2fnsqcqUPYsrOZb/56LRsPdPsD+jcEe6VQplcMBTCzoYw7PzWJJbOG0hdJ8tsntvCrp3dRVxHmPz43k/GjKzFNi0WzhvH375fwyD+288jze+nxbJewUky/sOYYx7rM9FzJ7Vc1setgF8+vPkxnauAyLYlhSgzTStPixAFMGlnCginVXHN2A4X5QQ4c6eJnf9tGJGpw7QXjaO0xaO0xuHj5aH9GJWza20m4MJ+7PjWZ19Ye5a6fr3XpjlBQ8NXLJ/DtL8zlu//1Po+/cTjFQ6Z9X7ZkKD/76kJeXXOYT9+/emBCVt5X9FfBih5VDdBcw6LmC8TVz+MJi/Vbe5ACeiNmmsf0Xz9cWU5ov1ylw0dccfQabF7jMRtrQ7XJrZ9sIRA2eGPnMHrjqnPnZ9yeCr+Dy0uTt6xfnBvntAmSaRNyj+5fv8Y/ravHzcMzazRItpG58dM7mvkpOTdtvQl4JrUNtSQMV51lceik4P1dtuPY1Qt/ekljSZO94lReIrn9SotPnWuXDwbDFJWUAHaDKcuHOmWrKsCxNth3BP7wT52XN4gBGVXLpkhu+YSVduS27RY8vPLf5zg++Y5g1WbNdzw1E2CZH+3CHsOAo202sLICuGChLb8nXhO24e1xUBdNtzjZKujqgXMXWPz4aT3nSo43NHcJfvNCNuFVpZJPLLAQmmT3XsEvXtBSyilzcQgIxg+yQGi8tkHj4qWO05/t3Elg5foYN17YSeNgSVGeRne/N4d7+6zzt//+kZ2WC14uJ1T65M+EgBAsHJNgQYPJu/t1/rkplKPMAB1Ur0GY6AU9z34aQ5K55VSdSZeSYFByyfhOlk/t476VNezuCtm9yNm65jiCvg5P6nd6WxwZGmQq3VmN9G61U1c2HZqV8gKYUm2xsN7i2y/r3Fllt4kXdwkaajWs1Jg9bZTkr5823ZfjKCKrL3O+bfpjSUlLH7y8SXDvaxpH+0SGN+kFYIewDl+YKxlcYWeIJeChNzQ2nhCuwev6aZILpljsPiYYMUgyulxyMrUiNm+M5B/X2VtqhxRDcR5cNdtiVoONbVJ15rlLv7D5hGBvq2DmCMmKUZI/bcnua5c2SurKJY+u0Tzn6f/9QddgZJWkrdfeYn6qEA7Yk5E90WydNigMV86QROKCd/cI5o+R/ORtjed2Sa6bIikIDtQjtukoz4Nb5khmjfZXZjctzNRBUR7cvcLi2jmkunc2rkQSfv0vjQm1kjtPlxgmbDsiKMlTMqXbsruNZJHn7Qs5t3qScc5yrTgKT1ouvE6/zorPdigr80zumNTBiYjO43uLOREL4vYKUvrPUYO5aMviXc3TDz9KXzx7ZjmXn13N758/wcZ9vbbBnVbBCgw/x9qrvrJwOnwoZVV9pjqMflt0gZnjylkwrY4PtxynsCBMWXGY1dvaeOTJbQTzgiSSkobhhTzzn6dnyyMFanBVPoXKLaQJQ7L/aDcfbm/mO7/5gD1HenPXa4rokoIAV58+ioUzhwIQTxj88419fLDXdtBmjy/nB7fNonZQEd966D2mjatixqQ6Pn3BBB+Y/mHvwfasOCEgL6QTjxucNrWK269sIhB09++QLqhKvR85cmgZ/3nHfDr73LP4sZjBn57fwQtr+nnj8H8xJE2L0sIgr7x9gN88t4cNu9uZN3EQ3/3cdEYOLeXV1fuZ3lTLvkMdVJYV8PUbZtA4upwf/GEDe07ajmBZYZCbzq9n35EuXnz/OE+/fQSwZXLLJRP4YGcr3/7NenQhuO6sUcTjBkYO46o4T+eez0xl2ewhaJrAkpLnXt/Lz/62nftums49n5n6kfiLJwx6IwnWb1fOOAgQQlCYZ7tBB9riKZv4FLr71G6PO9LVTn0K5oSRA6cLTQZGSbHOLecMxUTyj/ea2bk/6mPSOQ5tDoTeozg5wv/jGcf+DUOA7qjgyJ4SggFB0lDLDxSfGtLTXTnwqkZsLjz2doVjrfD0KsGP/6ETVd5xHFwh+e3tFtEY3PATje5Ihs+CoOCLF1mcNsc+15MOyVb8L27xOpD98ZYJZ86UTBgh+eUTWvoZOMOCf64XvLpBcMfFFroOQwdJBpVBfl6YhpFlxBOSzj5bp4YC9lYoNazdLTjnmzqxuH22RA3f/4fGm9slP7rZYlGj4PaH7dsPv/UHjQceyzhySQO6Pt6btgMKxzvgeEcO+SQZcMPOCgJmjZPMnyh58W2Nt3a425Am4IqFkvEjJS+u0Vi/E751ncUV8yV/fOPjG6ClhZJf3CoZUiOJxODbN1ksmiZ58M8amw5JkmamfT22WvDXNYKoazeEx2GzkmB2ceSkycGjknGjoDDf7me4VhpFjm8VplcDetPUoKZ7cXnx9GfUZvqnrksmju3l/LPbSbwwmH9uCnrynIpWFWzKQXMuH7KwKzXWBYVVGSdQdZBSxocEDnTksXW7TltPMLM4oK4cOr/VVcO04SSUvIrx5RhdUmQbvM5qZRoZGRpTsAOa5PPzJEc7BO8fAHOxna07CXesFIwohfljJUV50Fhjr5QXheztmq19EE/18eIQ9hMjKbp7k4IHVtnnqCOOvZLq4Pu6BBf8WefexRZrv2jwtac1ntur0R2TTP2phq6LNKl9CewdGUIQ0uET4yX3nGGy+ajguU0a95xtUpQ+zwslBZKJqed/CoKg61BdLMkLZUR8rFuk6faGI72wapfG3FEmyydYPL7d/S5jfgAummbR0g3P7xT0c2fFvyUIDcoKYcQgyRu3GaeccAoH7HPzXZ5JH13AWeMlC+otnlqvpc98dybgsY0aT2+FaydJLg3BDz5p8p0L/eEHdbvuQRAQMKJUMqm2f4ezPN+ul+HlEs8TaK4QS8CoUjhzvCSWhG8/q/GZORYlzi37fitSrpU/6Ynvlyw3TJfpkcO59Pt28qrbXl00+sMqCZlcuaKNXQfCrDxSYDuOKmxLumlyrWKqNHidWae/ew05HzpSeuFoe5z9m5O0njBdfTp36M8J9/KcyxnzifPZYluWr3PF6aMpKwnx63/s5CvX2O+WJQzJT5/cjaYJls0eRjioM6m+ArDPrVWW5dHZE6cvZgCCgrCOrtRPJGHx2xf286dXDtEXM2wVrBjM19z7BtesGM5rD1/AjQ+s5uX3j7L3eIQLv/av1Bk3gbQsYgmLSNygoiDAVaePpmF4OT/8/Xr+sPIAE0ZX0NUT59YHVvHm1v63qgYDGj+/bRqTxg3yTw9qRGMGxQU6jaPLCYeyt08Fg6lJYwHDaosZlorXBFSV5ZFImLz+3qF+6fjfChLYsL+bi+95g4AmKC0K8sBnp3Dh6WOIxZJ8/v5V9MRMflpfxZETvXz5p2v53s0zuPyssUxqqODL/7mGd3d0kJ8X4LoLxnLwSA9vbWkn4nk0NxzUqCnPIxzSKS8MYFmW79lEsM9MHmnu44e/W0drn8WPvzSHvtTzBD/80yZ++bdtVJfnIYD27jhJU7JkWi2//9ZCvvOr9/nTK4cyVoIFUkj6fA6TBzWNYbUF9PTF6XWeP3DG8Zz9SrEhPk7wmjZ+Zo1HHbi//SZ3oLBA5+JzyzGS8P6uTttxVOE5NhEMbHKtn/Axt6p6g5fLzO8dx3W+/mQBCOiIDMSBymWweuNUB7K/fF6aJAdOCubdpvuWyQ8KDMN2kNq7BZ197lq78xEBj2gZmOmVxv5aAZ70/qcYIjHYvl/w1GqNS0/LWB+GZf/bclDw6Esaf3lNsPVwHsMGl/PyD0z+9rrgwb9qxJL2BRG3XGxxrE2hXtqXqpw7178u6+sk1RXQ1CC5bJn0NXykhNfWClp7s9P+/eHj9lQoyYcL50nQJH96RVMu+bCZHDUIrj5TIi14ZpVg70m4vkVw/YUWq7bpHGz5aPjCQZheL7njUouz5kmefUPj8VcE5yyQXLzEYlK9xU//LnjqLTiRug01cwmRmd7aYAAAIABJREFUOgHiKCkz9R5jDBBEE5Id++H0BZKGOjjenst582trfhMafk6f1+H0lh1IX/XLZwfDhI3bi8lP5PP+AXVw9eJQndV+YKrvLyJTjlgSklEI5OEM1DYKmd6ClTDgDztKeWKPpDWu2+OGc4jMISdtZKlkqvWUGkic1RnvmSGXsldodylyRWYp4/ZEt+D9o7Bb6cdI2+Frj8LLuwX/2Cz4+bv2e4W3z5PcdZrFWQ/pbE5NiJ9XD+dNtTjclSE+ZsDSekltsdI+FEOyvlpSWwLLxkJhiXTTnMp+tAPWHrZvgr50gsUD51m09gi+8bzG4HJImoLaEklnTLByl+BP6zR++b7AtCTXTIT/vMTkF6t07n9zYIOWBF7ZDbctgznDYP4QWKXYVpeMtbd2vr1XsPaw+H/QFh8vJE14foeg+tjA8tdXwvShkj7PcanqArhqiqS9T/DDNRrfWJBRxKYFPQn7rylh5wnBnhx2bnURzEk9H9XSJ7nxaQ2eVsYuQG2XAnj4PIsLplt8/kmdf6jb87POB9p/d/Vq9EbgaERwXQqcK78a53x71Y7XufML6mSLdzbfxY5U+pybP5fj6X1qp5/Vv66Ezu9frqI5qtMe1908OgamOonkZFBX5Ly8OITkMoFUp07h6e+r2nhlXQedPSZJw8o4njmDj9OYJSOFLtWp9aMxy8jMOL9J0zbiH/77VrYdcRsIidR2iNfXHmf99lbu/uVaAC5dUMfPvr6YO36yhsdfPQhCMLexiuvOH8uOwxkYhmkxqb6S4YNL8AZNQNOYKqrK8jlt9mAqSsO+cu3oivGvD07QHjF45NldrNvWzGOvH0lvr5RS0t2boLWz/6uYQ0GNeMJ/dksIQV11EV09cX73zwN85VebfPNdOKeaP37vDB5+ajt3P7Q+HT9uSCGP3r+c8tIwH+xo8y377wh5QY0p9WUsnlzNlec0MLi6mFfeOczPHtvEu7s6OW1adXpu9IPdndz8/dV849opLJk9hKE1RbCjg/LCIEPrSnnpnSNE4yazxpWTFw5QXVVIKKCxdHotr//yTEqLwzz/r310dseJ57h5UUq4MyWXS5aNcHWjSDRJPGHy4o+X0xc1uPnB1ew81kd3X8Ke0IwkaeuKqc8hu8dWBUkwKBg1tJS29ggxdcYylxkPbj0ipb3nP2s7t4LU22eydJjy91QmVJYLldFBvX0mjz/dhikkh9ri2bpWSxPn0cEfzWmEj7zi6BlwfFcr3EQEdPvcoBD2zXDZwaNsvQZzTqnlxun/WzJhKFxxmkVpsZrHcn0X5QlGDrEPnj94k0nc8OPRVoJHDrfz9JsGe06osvEbGXM5kV649u+3tgoOt2i0RdzlqorgokUWw+tsCq4+O0RBUSklBRaDqyWzJ8P3y93e3ojB8NXLLP7yuuBwq2BKveR/7un/qufqSlgwzT+PYcDyW3Vae73twOtwqCFX/fnJ1q+MHw5vyJVfgJAsHA+Lplk895bGfvWMpkxSnA83nmsxb7LFS6s1Xtkg6E1InntT44tXmNx2ocUDjwk6XEcfcjlOggl1kkuWSa5YIRkxWPL064L/eFRj5zFYtUWwbqfgi5dYPHCTxaJJgv/zN411e720K/Vo9ILVp+CT9EUFb2wRLJstuWa55O1tIq1cC/ME5820aO2C1Tu01DldP9mfwhHz7e9+9ewne/Bv95l0U8KavQE+OBQgnjV+eHGdgmbXyh9u5Z7osR1HJ94142+f3y0KWpSFLXqSGj2QchpTeVxoU+XV1Uc8MJ08uYxglSUnv1Bkk4JrWPCjtzQsDWKuM5Ewqwaummdvuy4pknz/PDtp9lBJQRg+u0Q9YyOJmYKrZkpGFkue2GG3lbuXW5w2pn8ab1uWe9nsuQ2CW/6h0xaX5AdhxzGNn74l+LBFMLg8o8MPdcE9r2jZjndaCIKlwyTThkle2C7YlWvHAfD+CcG+FkFjnaSp1uLtw/bNpRUhOHuSzfNrOzUO//8wsRVNwldeGPhW+lvmWUwfKumKup3c7gSsPgAnt2ipm8j9QyIJv39H47cb/OW1dKTkvy9L6XFXFlX/OX+9DgGKI4SP82W38TcP2jCqC7NBu4LqRJ6qX+SiJ3dmsm87Vj68Dli6r/kYdz5422M6P99ajmlJepO5rvxW+2cuuj18Z61IKuX9nDsBhfmC8pIAiaSks9szOeLnHHqNVPVnrtXFrGFNoTOriEgPV30Jk9+9sIeO3qS9M0HJO7K2kBsuGJu+LfWnd8wFYFpDGfl5Qa44s4G5UzKPwseSFqcvHEVFZSF/XrkPTQg+f1EDl53b6ENzJtx+9aScaRu2HueM21tJJBNsOdjDloPuW6ny84LccvkkzlvRv+Ooa4LpTTW+aZqmMbimmF0HOnI6l/2FJTMGM3pYKc/9ay9rd/V/u+v/VtA1wa0Xj+WGC8cztK6ETTub+eYv3ueZtw9zLHVzbVlJmIK8AD199jaOAy0xvv3Ih0x56zDvbLKvpJ84rJBAQCceN/n6dVM4e95gCvICDK4pIRzS6eqGF945wp4jPZw5s5qO7hjR7IHfHXx1haC8IMCQ2mJWvnOEYx0xV75LzhzDhPE1mc1CFqzbdpJHX97vASOory1gfEMV6zYfpzeSSMcrqHxowq1fNCVeLZh2YYSnjBeOX6ICz4HhR5RStKfP5JGXjiEF9EXNHOa28IHxUXStHT7iimMO4l2/3fkaB5t859JmwsEkl/9sGCddF4P4OX25XG4v7P4cCf/4oRWSK5ZJ6gZ582S+hZDp99KuOUMisxqu/bu9rY39dQbvbtLYcyIXPSrd/RnUuNK7Y5JNh8jKW5ovOW26ZEajJBQKU15eCliEQ7Ydu2K6ZMkU+7yJGrbsFryyTnC4VbJ6C0y/0W+1VdA0QvK9z1ps3KXxnUdJvR3mduqkhH1H/WV/85mSz1wk+cNKwa+e0Xzz5J4QkJ70bP7dZwLVcmo78joYkoCAmy+y6O4T/PN9kdqabOcJaEm+cK7FTRdb7D0k+M6jttMIgp8/A2fOEVx9lsXmvTqPvalu8bXzCOF+OnvBOMkPbjGZWG/f2vutX2k8tkqk2r39oPkfXoHNezXu+ZTkgsUWRXkWd/yXxp6T7r4QjUaJ9fW5HZQUX6aUbNor2HtYsGiGxeLxGm9st+VTnA+fPV9yvAU2HLC3kvk7uV7Z+zl+7vrP5MlVt7lgZ6drQjCy2qCh2uRAi87mI35G2QCNMCeoV/U75aUJZhz0sLtYyicK6pKbJ3Zwxthevrt6EE/tKUnZzFKB6aBNwVdvR3W2mDrAHQdJ3Rbn3Jiqbn9NO58eAzKVR1qS/d0+IpDQUCb5zCxL2XEn0YX9nA0Sbp5nkTTVC1pSHxGNJ3bY9XLrk5p962n68qCMcf/luZLzp1g8+JLGqwf9DeruKLTFbQf30c0az++C1ojEAgIBe9LQlqNQmowDx92umgZJvnG6RUW+xvffEPT1Y0+s3KTR0inZcjyzc2B6nWTmMMnJHnhma6424w4jSuHBsyxGVEnOfFh9B/P/mxDU7XORvR47tS9p35hrKk3j4wfV0esvWw7DJavtKe3AO/PuB89vS5RXJeRYzcyJt7/gLe+3LdXPYfNdkbP/FgQslg/uoTuu815zPl1GwL3tK6eOyiKunyiPE+tKz/TLy5YM4pKllTz6agu/eeYkieQp9kNn8UTuukFJcxxuJ85bv94trilZ7DveB0JQVRJyZa8uz+PKM0ZTXZXZ/6xpEAroCAHnLBxBImm57l2wLElRvs6fV+7DkvD1327i+4/vymJNAy6cV8ddN8zga79cy5sbTvrQKYnGDLr7ct8IGArpnLVwxIDuNAgFBAeOZDt2C8aVUlGWz9Z9+2nu+GiPyA6vLuD8hUMRSH71xPasdE3Ar+5ewNjhJXz/v9fz0vrmjwRfDQL79lqwxXOyNUJrZ5Sv/2odH+xox4gn6Yia5Id1hlTlc/35YykvzWfNpoxsj3cmOP7esTS8GRMq6eqJceRkLzdc0sS2Xc28taWF1VvbWfXrc3lr40nue2QDQhPceH49Le1RItFT3NAIvmb1pcuGUVqcR1gX5Ac1epT+O3/aYGZPrkv/tixJfljYjqPSzQKa4N6bphMO6rz0/gmaO+IZfP2Z6rnScpmt6vEYXxdK+MQ5305ZVaeRcVYVHZwX1lgwowRpSdZv7+VEczJ1E6sPD15i0re2+uXNDh/jjGOuND+DXxAOSILlFlrYNmyyPV6vYeoNXkfAD4Y3r38NvrpZY+L1IiVrPyNZMLRS8uevWURicNWDOp0+F2zJZCtYFlJqmFln7nI5kP3l821NWWFvi+DqBzWEnocIllNWIBlRC7+/ywLNfkZkzUaNh14QHGsjvVoqZeaq/p6IZPM+vzoQ5AfsWezObtiyX6TO3+WiKZufBVMlo2ol0b5Tlcvl7OH565FPOspPXn51n6JrnKS6XPLKWo0P94q07VpdKrj5XIPbr02y57DOFx/S2HEkU76tB77yC41HvmHy/c9bGIbGs2uhJ3Wza15IMmucvUIr26GmTPDOLnj0ZY1hgyR/ekmw66SWGgwzPCZNwXu74aL7BPdfK3lvm2Bvs9qJE/R0ddLdnUBKrzOVybflMDz1tuDOKyRfugwOPQT7W6GqGOqHSd7drBGNq/LwtQR95J6Ny5+G7P6TDTs3/qAuOXdWF9ef1cajLw5h85FCJZ+DJ5dT69EfqnEjyDYKk7224+gFKWznvyDfIFhpEAhJhHP9td+ZIBUmZBS6nzpTVyb9ykL/Z62E57dS5q+7BX+/V0uLZESp5IKJkq8ssdh8XFAehl++LXh9n6AlJtI+m2U5k2GC/e0pQqXEZjqDr6XH3kp8qEOw+Rh2ukqXSx3bz3FEU+cdNQE1xfYlK7tbRWbyTfO2hUx4eJPGzUskV06XrD4geXlf7su77n9HINYIrNROvZIQXNQkGVopeeA5jb0DvKCwolCyaLTFoTaRZRf/u0NRAEYX298Hu7LTnafcCj7Gg1k5gyB7wsNVnx4hZE0o+Dl0OfCku6vTLzOGU0gXFIek3Ry8fdXR776rhE6eVJzlaVfpraMiw6vDg4PM60j6tGWvbGqKDH55yTG2Hcrj1pVD6OrU/c8K+cFTxy5XmqMTfOwQXwfZLlicp1NcFSKvUEeolxa5tpiqtJGRiQJHJc13C3BaFtLtbLomIhycCl6h8JZe8oG1O9oYf/lTCGGLrqYszLlz67jv1jkcPNaNkTR56B87eXvjSY61RtM4rNSEmxSCQ80RaI5ktQ1NwMzRRViW5ODxXjbvaVd4wkN/7tDVHeMz33qN1za1ZfjxOsgIQkHBw1+ZxfSmWlc8wFnzhxKNJdmwu51u50yda4jNUbcSOnvi/HXlHj7c0cyH+7qVurHpmDa6lCVTqzGl5MCxXsWZ946F7p9+eKePK+c7N04hGNC4aPkobvnxezz6+iFM00LTND57Xj3/584FiBTvfZEEf1u5kydXH8/0M8+EZ8OIMnp642w73MOszzyHtCx7btYC05RE4vYbjQ1DihgzqpKHHt/KiTZntdAhVv3r9GWZlhFSUlkS5hOnNyClxWnzhvLl4z3811M70mXv+uGbPLLyYHoLMhbYlNhtQkNQU5HH166ZyNLZQ3lr3VGef/OgclGPYkt4aXLeRnT0VnrS2CPndPsXPm1PkV+6rKfS0ihT/Odqv8qEUHlxgO9ePwIjKfnaQ/s50dKZgeGrb5T6E458vbz7h4+x4pjrr6pYMh1py1Gdex+pRQhJe5YT5mHAFe/A8uLylvEq3lxwbQPGcK0Yeb8lhinSu8ySpiRpeOBknWnMRbuXjly8eoNnEPGkmTKPuePKGFYjOWu2xemzYO9huPePOr0RuPcai0fukLy0VrBpr32hjmHZ23TPnOtcROHtpPb30CooKxFMbJDcdSXKweVsmk+0wovvCZq7AAQFQRgzXNLeBeu2+2kuv3aDJ93729tZvHsC+umQSnhjB3zzEY3jHYJIUqJrcM50uGSZxYKpkvc2xvjeX0tYs90NWyJ5fx/8x+90vv1Zk5/cbtL0rMavX7BXb2+7SHLz+ZK3tsC8CZJffMHkqbc0Xv9AY9cJ5yUqrwwc2PbV01//vZZJkyYYPSBjmGkl5m0PChwpePZtwbwJgiXTLe6+Bp5bLVg6yb7ufucxXM/JuOWkhlztTU3vr95y1bcfzky8JeFIW4h1e4s52uFdTfbr0/3Q6Nl+mr0aaICZBD3oUfj2O46/3VjFUzvL2N4VxnIMIJeB4vBFRrE6RpP0ykTJoz5CrsZ7RZNm1ZNPkv0enSWxpKA4IJk9GMYMhssmWtQPgic2aDzwuuDSiXDrAovzJkhe2Kmx4bhg00mJrgkuHCeZMMRyw/QYHXNG21teL5oiGTMkle7k81T7un2CVw9kBshBhXDhOEnSgNVHRTpfXZ5kcp3NTmO1vSI5oca+AKgk336Xdlyd5Na5krVHBbOHSKaMOPUgVp4H502yV/6rK+Bry7OXDCTw8mZ7G63DZl0hDCqF/14t+Bi7ygAIarB4hGTWqFPTqYaQBjNTvF08XSpP78Cj72sc7f9FABu3DmdOlFRU+OMeVQ4lBUqExG2AqCvidgRZ/cs7yeGnOrzOkzPcpRpJcZ7gkxMtasvsuOIgnD3OfqaoPaKg9NuO5bcCmUW3wpu6wp/lkJLt8OW6YEZZsYwZGu8dyedQSwj7/haFplM50qpIXSrUw2s6TWTT4uQR8JdVLby1pZuDJ2OpywYl6cu3XLByGJrKroKMyeaTV0LmnFaOtu27fU5kp6fEVRgSTGkop6m+grPmDmFa4yDeXHeUb/96HZMaKvn85RO44rSR/OONQ+zc18663Z2YlmTepGoWTq1F1/3eBbH/n95QRjCg8ckVo2hqKCeHEJFSsnFXGyvXHPXNYpiWfXY0jQNSt6vgOMW6plNdWZgplEqrLQsxb9pgTrZG2LSzFVe9ekJ1ZUHaKXNk3B01+fPrh90ZldX9EUOKKS4M8dp7h9l5LOLT9kRWs/KruvlNVfziK3MJBHQee2475y2r56E75/LoS3vZuKuVHYf7eHtLGz/+82b7RlNLcuBIJ8+/c4TeqOlqa0V5OsUFAU50xBk7qpL2zjitHVHXbanCs5L1mbNHEYsbbN7blr5cLbv9ZAoEAzqBgA4CKkvD3H11IzMnVvPoc9uJJCTXf2ICE0aXseNwN5pmn6FPGqbPGUeB0OD06TXcckkjK+YNY9OOZu575AN2HevLbs9KuXSc6zcZHeJ3QiG9wu9tBB54qnvgbTNefHhwKX0sYVpsPtiHadhtybcvOrohS0ekaPnff8cx1+DisSJceaEzorHhsEAgUytgWVJR/jpp6u9cdPRH06nyO8HH4PM1eFNpyTYy7zSqtOYyclX6fBSrLx6Vl8zvkA6XLAxzxbkljB1sUVkqicUFf30Z/viqxpZDdr67fqtx5RLJVadLbrxAsnE/HDouaD0Jt11jUdrPTXlOqCiFqeP7N4Q+2Cr4YKegucvGO3EYVJbAhl0au05468Vb5/3I2DfeMWp13PL2a0veb3tgfXVjJv9lCyV3XGlSWQqrPxR8/28xth4v8YFpX5zy9HuCpKHxwy9Y3HqJRVE+bN0nuONSi1UfCL7xW41lk+H+z1ksmmqx/1jqwpsB2pJSStas7+PXz0fpSap1n6uNZeg70Q0P/kVjUKnFWXMtZk8Q5OdJjrcI9hxVV2287QrcBPql+ZXxlvUbqU5hcKTyJi3JS+sLeWdbAb2x/uBAdhvxto3Ut7ot0tukjAjopRmnLGVEWpZkV1eI/b1BYoamHO0Sbtgu8kW2E6huw8uaQVRoUy/eSdOdwqcqdD8nU0BdAdx1usW4Gkl9GdSUSd7fI7jnOcGLewWtEfj9BsGuVo0bZlk8eJ7J8R7B4W54d5fG1FqLS3JckOUNV8w89b6tX7yi0ZaAb6ywn+0pCMH8EZLXtgh6EpLHr7YIB6E0CMPLbPbygpLCMJzTZHHBVPtNQycsnWBxTRM0VkuuX/rRHLJbF/vTK4GOZi3tOAY0WDBE0tErePOQvd0255kzIGsyIvUdFJKzx0i+dNoAtwz6hKtmKxegmfDWNmE/keLg8qMFe1vyBVMsLphyKgwi+6c6WeBd4fbi8j4j4+fI9YM3PwBXNMGKJjefb24XPLNLU7q4v4w9BOXG6d1G6zvUeMsrv1WVosA6GQlw+3ODSViCZvVGVe+kkJf1NG7powp9FJSvkekOB47FONaaIJGwkOo5bNT2ohqJ/aB1DTVeeSsZ+zMk/YYBRwGnZJ0X0viPz05mVlMtw2sKGVSez+Hj3Tz4uw95fvURDjVH2HMiyq5jPdx9VSP33jCNvmiSvccjrNtygrKCILdcMYlgMMf5UiVcc3ZDv+mWJfn9sztY+e7RFKk52pmye0UIwcPfWEhlmf3WjK4LZk6uZee+NmKxzIzT+QuHMXZkOa+uOczm/cq2BwkzxpTyxaunUFJob+EdO8zebtDqrKZkOYEeuqTtbObnBfjXu4czkep4I3zKey5pKcrTufbseoYPKeXOH73FyvePc7S5jy9fO50ZE6s5dLyXY+2xLLUzuaGCC5Zmv5domiaPr9zNuq2t1A4qZM2GExxvU7boqoAkDKkIc8aCkew/0sPabS2ZhHQ+me4H914/janjqxhWU0hhfpDDJyN89coJXHdhI+s3H+f+328hKaGvL8FtV09lySyLUCjATZdN4syl9a4+Z1qSp1/bx94D7fzkzvnUDy/jnfVH+Op/rWftjnYyY2+uTpP669cVnNU6l25U+7zXZk3FqUda0rsyfGyetD2j6qpUmtN3gY4uk3t/dRApJa2dSQ8Mj73hrGRKFDi48/YTPuJGGBVgf4ZtRkgT6iyunB9D1yU/fLbQs+r4UYzSXHT0lz/bEXDTlx2OtgvOu9e+WbE7ouRLtoFM4OZXxeMH186TMOBEu6Stx9kSpcrNj7cMvN6I/f5ixAgT7S6nJGyxZpPgg10af1stiMQl8WSGzz0n4AdPCn75ouS65ZIz50oOnIDfPK/xy5eFMknrO3r4yM2nwWOvxPZGM+XHjZAU50ve3yJImCoPvj3Nh2ev7HxkLPzOZvrRDLnrWPLSBzBrnMY72wUvroVI3AI9Arr/Vsm+ODz5ruDQSZ3bLrF4YpVg4yFB4yiNH/5V42gHPPoGfLBX4/JFFucvk0z1v6k7K0QifXR29nGgGZfz1NkrOdFO6mkO/zpwwq5j8Plf6Nx4lsWiGRZdEXjo7xprd6uy8IORq79kyyw7X46+KYKpf4FUfaXySwtkMvUvkaZHF5CnS3yessNdp972qn4ryi69LQ330xlSghGDcGkWloAO147tYMqgKH/ZVc7bxwuwVMcwS2QK745R7WxTcMo5Z6C8K59pg1MxPLMMTMVgUxZiT/RASx8cj8KJNpg5VPLUeo0ndmjsaBdEEvaFQwiIGvD6flhzVKeuWPLNxZLB5ZJndsGv1ml88SUPH1nB0398tmw5cdGk7eSNKpdUFtlO2AubNB583X4SY1AejK6xz9q+uEnDsty4Xz8oWHNUENLgqsmSBSMsDrfB7zbpfPMNj1E8gNnQrLNZqTI9ij2jazBnBOxrgaM9qa28uWCrU9fOXrtUVNQUfPtf8IPV3qHUqz/9ZIqnCiQSQZfnUrSsIARgEU3Afc9p/M9m4UO7ZP5w+OmFKWdNbX8OeNc5PZue9igc7bYv+knjUo1T7xbSlKxbo4Ir/mY/19LpeV6kNQKX/VUj/KSmoiKehJ64AscZGz0ydk3SqG1QKt+u1X+RQeInO7WvqgSpf9WtkEjCunTN6dh5PBGudqfGpQwzFYnfcOd8OAals4Kk0HrxsioWjy/h1Q87efaddpKGhw/Xt0KDsjJh8y88+D0y9k4Q5Op7vl3G3kbe0pVABKLEEiZbdnewYGotb7x/iL+/doB1+7rpixoYhgXCthk+3N3JDd9/j4kjSzhvbh3nLGvgN1tO8ObWDh58bFsGlU+/8dURPjRLIJYwMzJO1VVnT5xjLRFiScu33NBB+YwbVZH+vftwJw/8bgM7jvSAgMqiADPGVZJIWvzP8zvspyhkRn+bhsmEEaUMqshsAXjyld08tnKvnwCz5F+crzN5dAVJw+LJd05kxiGnPsHn7Jujp0nz2pewWLXuKJt3tfDY64dJmpLvPbadv799lBvOHMHsaUOZMqbSnyafcLK1j9aOGDPGloElOdoWpbXXedYiRYdiCn5y+UiG1hTx4CPr2HcyqvChZBJ2+6wuDzNlbAUagj8/u53XN7diIigt3MV/Pr6dI+0xkHD/n7by8PP7uP2SBhrHDGLsqErKS/NddHb1xIgmTTYc6OGJf+4kFA7yq6d3crg1ltEjDi0ekyMStzjWEqG9O+G2BRwmvat5aT6UPH72cBqv2j896Wk6lDyuZzUyZez7WQQSgSY0EKZCh0fZaDJzG6yXpwGMsUJm3/6SFQq+9T2ib32jnxy5jHRYPiHJTz7XQihkcNo3hnK000upt2x/A65fmh9+P3pylfXm8QahbE/tL78fzfj89uZX83jhOo0pDMGyAdAP/nLzfufKr/4eiLwy4YL5FhcukNzza40T6cvKcuHrL92PDifKsN/MdJXPVdfedL+/HhqCVSD6m0sZaPvLVU75tmL2tlSMfsoOhPZc/QRPHjxxOejyrR+/tqwaKAHQ8u1/wn87kbseLTAjBEUfVyyIcP6cCK+sLeThVc7r4X71cwoZ10moSilCy5PVcSYtCXnlqac5Mml5Acl/LT3GWdOj3P3CIB7bVqo816LIWB2kXWGAMnadQ0oFdQBwPRHg08YkGTpc8BRUDmyJ+3yXdGgXucXY34qbb/4crLric9RbfzP9ObfODYQmRbY5jV9JOCD48TkW6w4LHt8oiOdcMHSMLx+6fOMc3KeiLyWoXMZ4qi2EdfiR0e/UAAAgAElEQVTUZIupw+HBfwmOdtl8nT5S8snpFk+s13jtoD/CxirJ5+ZabD4q+O8NmjKp7203p/idzUTGYFH5EUrZAa0eZsC5+tap2p/TzvuFqTTGXPly0eihd3hhgkfOOcrBthDfWzuI/T2h3HC8+NW+Gu2CD/9O+nDuqdqzjywfvHEknz6vmt88c5wf/vmo/YSAulqaBcMTn0t2p9IN/QF02oI3m/MxkLpPTwSo9aCicvoh2TTmGtI/qs5Qna10vEJTrr6dyjaqOp8l06r548qDyFwyHpBuzZZxbVken71wLKZp8uO/bCeZGaBOUTYVHKeyP/3kjJsSZTukz/jlg2La6BJOmz2YAyejPPGvg5myEoQm+M03FrJuWwuvrj7EJ5eP5HfP7aatN3MGdMHUaj574Th+87ctvLu9A9VxyxlybRHtL3yUfvdRgeQyy9Sg2ibetv1R6VQzSkl1ZYhf3FaPKSU/+/sx3tvW40NXijdnvPORX/7pO4g88H/6xfoxjt6rvdSvB+GKP9im8/jKSkKapDeuSixXw+9P6moelRY/reGlSf3uT/uo39LHacylpbx0efP3R1cuOgARgmB5Dnx+LbU/2Xrhe+tSlY9fOS+uDIxn37H/KYR74PSX5lcfPjIWAXJ4Bj50+bUjb7onGB0QqMqhNLxtZyCjlE8eK2m/xygTSpoXJp5yXvzeOL/0XDT6wc8lf2/wlNfCoBWCFiJbPn7BqUcdAsUIvYhBZYcZVWVQkqfS3H9b841Lz8b5GIDO6h7Ybzrq4UxRTWBIwUv7SjjaVcj2k3n2iphLqeOGl77sRigDrVBIlwqZwh3nqhaRhcI1OKeNMievzObLFVKZNdxbYSUZ4wjl22vgqzSpeFTYKq4sOTuw+xsfRDYtKh1CxaXKYoDB9UyKT0jVSdyQ3PaMyOB2gmumXuHRb9WrPwfJsyKXJWPpKe+sgOBOi5uCRz7U4AOZoU3CK/sFr+xPjfq+BohkW6vgS8/rCuwcAknXnSqDXNml+2Zgb5oXtvfR6bQMHF6Vvp5zNdAj1ywjS4nLGo594Pj1H+FDY+pb16CmBHpjFoH0hTR+47G7nKstqysvOYplyudOenNrF8mEybvbuu1zZN7L+ZzLOxzdlNYhItM81Asw1BUSXx5ytOE0oQpfaT2n9F0VXr916NDmF+n+dMHzTsS4bCdyByernymh0u7IS5Vr+tuNd39zlP3/PJjdtlUZD3Cywkvoic449/9hc2qs6YevXHLVlGRXE1Z5VerOrz3kaCoAH+7rti/08RYV9i67mx54O433R49vd8MRsHpjM6s3NLvj0xfR5JCReuWFb9vwpzXjREvSq8KuoJb1A5JDxrmrTymqtls/GfvosVPBBBACXYfhlfkkTItQIEc/kMJNr5+MBxA+4uU4uSjP0diQHGwT/HJVCCGcrXi5FG4/hoYLj1+8l9mB0ObF4/OdbCezPdWrKLywfTWfDx4/enwGXAS201iRHT9gQ38g5dSyuWgaCG9+NOQq4zf45pKjB4YIoG51zI3fbURla0yftiQNMNogUJlR/jnboF/IxQ8gk/Z7jDKeg7eBytiPBi8/udK8OP3ivHC8uDR7ZVEvJLN12MuPX3/KrhtTCl7dMoQDx0vZeVR9eK8/Ofi1DyVNVYDOwKiSYSXcYLC3Vj53uIiVRyyihmbbYl6jJ+3EyIxzoil4vNvm0vgVXH6OhiMux7hOD0AOjpSid/KqT4Q4ZyVV+A4+h3dN2PtX/S4ScYnTx3Bx/RYekXvhubOmI1yzwg6PjnykDx0eGN6H2h3e/W78dArmcoS9/Ai/eA9vrmifeJV339VDgWsw9hoGqhPqBIe/XPBUOqVS/356yitj9a8KL0tt+LQHhw+1/bj6iQ99fhc5ePnxk0+u4OfoeCcXcm6r9LS/XLg8baY1GuDbr1bRndQ4GXVMJh/ZnKp99GeUeSeMvPSmwqr1nbyzuZt4QmJ4+zWk5O3T5rOMUm9f99DTry4gh75QAHnrySVTDxw/ek+F0/VXkZefQe4t78g4rXe9bckrfy9vXiYUGWs+8a6f/fDnG9T8Pn3ZC0KVkd+KXL/tQPj3YT9ald0b7m3PLoWYkXXWxKIPm2o/8U5mQWaMlR6+crVdX/GqdSQyY7jwyDldp6J/Gfux45WxK7+P/sol4zQsMttKs5Bm6rqz2+T+vxzEkrDraDQLFGBvUXXGjTT/aoaBtMmPfDmOV0r9dNJUmbpSi2XjEgSE5K/r8uhL5Mqvwvfi8PsGX+EPiPYBGNOuM41+uLx0efP5ycYvj5c+R2mFlZVG4VMmFy7vt5d2P3r6K5MLr1++XO0hl+z648krY6dzhbBXgP3K+OFU5TqAfM522GA59gpnf3Xm91sNEntbZo+9NTWrnXhpO5WMBxpylc3VHj00+/Y/x2Eswt6OKvGntz8+3DRZlmRPs8bRzhKi8TygwwdOf7xIXPR6DQfv8w9CpOrDAD2Qzh8QsLA6wphSg38dz2d7ZxjZ32qTM7h6nwNw0r3fzuDkiMBvBUh1kLxGcLoKhCIKJT49w082Td7VN/U2SocOny1xmf6gGlGefFLBlWtVwpum4ld/ex1B78pxeiVRKF0oBzzhoUNt0mmnzCNnVU4qPL8VUZWOdN2rxoaPgecrYyVN1ScuJ1/R/34wVHl5ZS2xyzky0UR2Pjwyy7mSmILXX12nwGHKNMmZ9i4ybVmQkZ9TyMnn1E2ui3i8dLkcIweuX33hbi/eCQcvLqVdRUzBWycKMC1JX1Jzt00XD04ZFbZTD97+7+FJpBK98ByeUoKbPr6YplH5bNrTx/vbeu1ntrLqwyNnb1pWO1XiXCsQ/cD10wN+ukMI9wqPQ5PzneUc++l+4ebFF6/Sbr30qG0BVfZC4cmDK70a5eElg0T59vKgZvPUabqoR9eqPKjpWU6Hp386tKff4VPKqE6Rhc2LiwVHTs5vQdaqqiMDR5c4MpQ56FVligIvq+49skyrI6X/+snUdXmNt+4UOTv8yhRfmoduV9tLC9L+azl0KzJXbQuh8KN+u569UGQsFXgo8FQZCw/96vMYaTk7dHjSNQkaxBMW72ztAinoTT8F42lbjgPq0pF+fa//oN933333nSrTA/96C+PQIjdjrr/eTpSp3BkjTL57dTMrZvSyalMxzT0aE+pMzphgkBeStPdpDCqWLBufpL5a0tanoQlYPNZkziiTvoQgkhCMr7M4fbxBMCjoiAgGlUhOb0xSX2XR3KMR0GHxGIPpwy2iSYjENZqGmiwdZ5AfhJPdGoPLLM6aaFBbZtEeEYQDsKDBZOZwg96EoDcmmD7CZP7wZnSRpL3PLrOgIUltqUVrr0Z+SDKn3mDyUIuuqCBhCCYONplXbyAEdEUFQ8otFo0xqC21aO7WKAjDggaDsTUWvXGBYcLEwRbz6w0sKeiIaAyttFgx3qCkALpieRQVlbNkvMGEWovumH1d/NxRJovGmJgSOvoE9dUWZ0wwKC2Atj5BaT4sHWcweYhFW8R+h3HuaJN5ow1MadM2psZi+XiDykKLE10alcWS0ycYjK626IhoCAGzRpksrDeImdAV1RhXY3LmRIPCPGjtFVQVS5aNN2iolrRH7At35tSbLGow6Y1Db1wwrs7ijPEG4RB2fRVJVjQa1A+yaOkVCCFYMsZg+giLmAGRhKBxiMlp4wzCIUlLj6CmVHJuU5K6MrudBHWYV2/SVNtDLKnRFxdMHGKyoMEgHJC09tj1tajBoKbUor1PEA7a/MwYbtIVFUQT0DTElr2m2bf+Dim3WNhgt4uWHo28gMWC0T00DTboTYZImoLJw0yWjzWRwuZnWIXknKYkVcXQ2qdRELJl31hn0hMTxI0EUwZ3Mm94O6Zl2GUqLZaMNSktsGVdFJbMq0/SWCPpiAriScHMkSYzRtg3tXVFBSMrJQsbkpQX2O2vNB+WjDUYMcikO2Jf6jFlmMmskSZJE7pjgvoqi8VjDUrzoaVHUF4omV9vMKrKpCsiEJpgynCTOaMMooagJypoqLZYMtYgLwSdEbvMwgaTkZUWHbECZKCcJeMDzBhl11dfzK7j08bbZdp6BYOKJWc2GYyotGjr09A1WDjGYPpwk5gh6IsLmoaaLB9nUBCWtPRonDctyq0rughoYbYeywcrTrbiUgakXKFYQL5nsFGdO2cgA9CCEAjh+J2hgOSrM9v43IJe2roF65vzKA1ZLKmLMq40TldCQyKYXhVldnUcC0lXQqe+JMGyIVEqwiYtMZ2KkMHCuihjihN0JezpwZmDYsytiZOwoDuhM6YswZK6GMUhk464TkXYYmldhFHFBp0pPPOqo0yvimEAPYbOhLI4C2vjFIdMWmMBqsIGK4bEGFGYoD0RQNck86qjTKlIkJTQk9SZWBZnUW2UoqBFczTA4IIki2pjjChO0B7XCWuSudVRplcliJiC3oTGpMo4C2tj5Osm7YkAQwoMFtVFGVpk0hrVCAVgYW2UKVVx+pKChKUzsTzOgtoYQU3SkbDxrBgSpTbfoC2ukx+wWFgTpbE8QdSEuKUztTLG/JoYQSFpiQcZXpRgaV2Mmvwk7fEAhUGLRXURJpQn6TMEEUNj1qAYc6rj6MKiIxlgdHGChTUxqgtMWqI6pSHJkroo48tt2ZtWpr5A0pXUqS9KsGxIjMqwwcmITnnYZFFtlLGlCbqT9o3NM1J4TCnpTOiMKYmztC5Gadiur/KQweLBUepLknTFNUwE86pjzBoUx7AkPUmdsaUJFtXFKAkatMV0KvNMlg2JMro4SUfCvjBqXk2UqRU2nh5Dp7EszsLaKMUhixPRAHUFBovrYowsTtCR0Amm6mtqZZKYCT0JnUnlMRbWRikIWLTHA9TlJ1k0OMbwIoP2uE5Ih/k1UaYNStBnaMQMjYkVdn2FNIuuRIC6giTLh0QZXGi34bAOC2tjTKxIEDMEMUtjSkWM+bVxgrqkNaozrDjJ8sF2fXXGdfIDkoU1ESZUGPbYa+rMqIwxrzpOQNi0jSxOsKg2Rk2BQWs8QFHIYnFtlIkVSTrjGkkpmF6VqmMsOlN1vLg2yqA8k+ZYgNKgXV/jy+N0x3WkEEyrjDKnOo4FdCV0RhcnWD4kRmnIpD2mUxY0WFwXpb7UoCehYaIxZ5BdJmlJug2dhtIEi+vsMh0JnfKQydIhUeqLk3TENYoCFv8xr5lxZQl2dYboNfWMSkqrKNUA88an/ibjcGJbRh95/RDH8FZ1lcd5+Nx5tXzxk4PRdMF723rQNY3Fk8uYPLKIiGESS1g0jSpkSWM5gTxBe7fB4EFhzppayaCKIB19BuGQxqKmUiYOLyKatIjGLKaNKWLh+HIC+dDamWRkXR7LmiqoqQjS3mtQmK+xsLGUKSOL6YobxGImMxpLmD+mFD0EHb0mo+ryWNpURk1ViOaOBMVFAZZPKmf8sAK6YgaWhGkNRSwYV4alSbr6TEYNzmN5UwWVpQFaupOUFQZZPLmMcUMK6E6VmTGmmIXjyzA0k85ug4bh+axoqqCkWKejz6SsOMCySWWMGVJAZ9TEMC3mN5Uxa3QJpibpjpiMG5bPkonllBTrtHYlqSwNcvqkSkbW5dERsW23ORNKmFlfgoFFd8SicXQBSxorKCnROdGepKYyxNKmMkbW5tHeZxAKaMweX8ycMaVETIOePpOm+gKWNZaTlyfo6DGorQqxpKmcETV5tHUnCQQEi5pKmT66hD7DJBa3aBxVwJLGckJ5go5eu8xpUyoZWhWmtS9JKKCxaFIpk0cWETUsogmLyfVFLJ5QTqhA0NyRZFhNmNMmp+qrzyA/T2fhxBImjSymL2HSFzOZNcGur0BI0N5jMLIujyUTy6mtCtHSlaSoSGfxxHImDi+iK2GQNKVdX+PLQZd0KvVVUxnkRGeSkqIAS6aUMX5opr6mNRSzYHwZpm7R0W1QPySP0yZXUlocoL3XoLQ4wJJJZYwdnE9X1MCwJHMbS5kzphRTs+jqNWgYms+ypkpKijXaegwqSgIsnVTO+KGFtEeSWNIuM7M+Vcd9JuOHF7B4Qjll5QFOtMeprgyxbHIFo2rDdEYMdN2ur1ljyoibFt29BhPrC1jWWElBoUZbl13HSyaVMbIuj7Y+g4AOcyeUMauhhF7TJBKzaBxZwNKJFYTyBJ29JjVVIVZMqmB4bZiWVB0vnlTKlJFFRC27viaNLkzVF7R0JRlSHeaMqZXUVIboiCTJC2ksbLTrK5o06YtZTBtbzIIJZQTzNNq6EwyvzWdpUxm1VUFaewwKCnQWNpYybVQJnTGDYADuvGIIcyYWc7wtQUungWui2zVZp9hJaf1i/w7Wt3HPijNz21p8JMdxIW5tqXrQ6j/3TFFFocWUEZLBw3rYsquE7cc1Lp2d4JvXHSPfEry3N4+mISbfu7KLxlFx3t+Zh0Tytcs6uPbMNrYfKORgq8bls5LccVUzgXiYDw7qTBxq8uPrj9MwIsG72/LRheBrn+jhqkW9HDgeZn+rxo2Le7j9shaS8RBv7wwye5TJfZ85wey6OG/tzqcwJPnBJ6OsWNjBrkP57GvRuWruEW467xjJmM4HB4LMrzf44kVdjKySrN0TpLxAcvuFHZw9v5uNuwto6xNcPjfBDee1kewJs/lYgHkNCe65rJmaSovV28MMKrL40kXdXDQ1ysZDYbqigpsWxvn0ua20tuWx5ajOorEGd199kmHFOh8cGUJNicWDl/cwuynC1gNh2noFXzqvm1suauFkaz4bDwU5d3KSu65qZVh+kHf2BBhaYfGDTzUzb1ofa3cU0BUR3H5OhJvO7qKrPczGIzqXzIzyzStaKMrXWbUlzNhai29+qpWzG3t5e2cBpgX3nB3nsnNaOXS0gB3HNS6aGee+649ToAtW78yjcbDJt67oYk5Dgvd3h0EK7rygnc9c0Mb2vYXsa9H55Mwkd3/qJKVmHu8d0Jkw2OQn1x5nzCiDd7fnIyV8/ZJurlvSzr5j+exrCXDTgiRfvrwVIx5kze4g00aY3H/jCabUxXlnZwHhgOS7F8eZP+UEh4+HONimceXCKLdc1EIiHmDdviCzRhl84RMdTK6B9/YGKc6Du85v54wF3WzbW8DxTo0r58e5+YI2tFiIDw4HmN+Q5J6LO6mtMnlvV4iSfMmXLu7k/KktbNwDXRHJ5xYb3HxZKx1t+Ww+rLNgrMGDnztKbYnFmh35VBaZfPXCFpZMaGXLnhjtPTFuWNbBdee109qax+bDARaPM/jy5S2Mzg/x3gGdmlLJdz7RytSmGNv259HWq3HzGX1ce3o73d1Bth77v+192bsd1XXnb1ed4Y5CEhoASVdAANPYBjwBBgwYAQbbiY1tDAZsbAieQxKMsUG2Y74kTtL99Vv/B3nKQ7/2S09OuqGFmQw2g5DATJrupDufe05V7dUPe6hVq3adcyVDBKLW993v1qlaew2/tfbae9fYxOcuTPEXXziKU4YU9uxrYucmjR/dNoOrzl/Ck/tH0UsUvn1NF1+5bhaTU0N4+UiMGy/s4ke3TmK4DezZO4Rztmjc98V5XHNuiif/0AIR8IPr5nHL9XN47c0R7J+M8LkLE/z1V6dwCsV46vUmztua4T/e1sOFH27hyVc2ItERHrplDt/aNYNXDozg1akGbr8kwf1fm4LqtfDEHxr44LYM/3jvIXxoZxeP7x2BIsJPvriCr3xqAW8dbuOVyRh3X72MB249Ap228G8vtvDFDye4+89mcHh6GP/9+WEAEfLnPyHqjRI1hx0fV8AoP/PriiQvnI4ioDnkj0cK+PDGVZx7Wgdpl/A/Xx/FzrEUP9s1ic/tXMLjB4fRySJ894IFfPOKWUxOx3jxaBuf3bmER246glMaGR59axRnr0vw8JXTuHzbKp45MoRER/irj87gniuO4g+Hm3hpro0/m1jET26YxvokxpNTLfzJKT3852tmcMH2ZTx1YBidTOGnl03hrovnceBoE/vmW7j1nGX85dXTGOpl2DM5jAvW9/B3nz2MT2xdxZ43hqEAPPCxo7j54nkcmG5h/2ILd/6Ho3jw2mmoDHj0wCgu2dLBg1dP4uINGR4/1MZog/CzS6bxhY/NY+/BFl5bauEb5x3Fj66dRbsb4/HJFi7d3MUvr5rFORtW8P8OjGI40njoqil87YNzeO7gECY7Ddxx7iJ+cPU0ugsRnp0dwiWbO/jHzx7G9nUJ9rw5glNaGg9dNo3PnLeCfVMtHOk08L0LZ/HDq2awtKjw+JFhfPqMZey+YRLntYDHDrewaSjDP31yAVeeP48XDrZwYKWJv7x4Bt+7bBbLSxGemRrCDTtW8KNPzWD7UIJHD47gjJEEP991BDees4Qn3hjGchrjOxfM4ZuXH8Xs0QZemGvhpokl/PL6SawfSvGvb47irLEedl81iWu3JXjqUAu9TOGvLz6Kb14+iwOTDTw/N4TPTyziZ5+ZxCYiPH5kGGeOJXjkill8fMcinj4wjOU0wgOXTeGeTxzFm9NNvDzfwhd2LuH+a6cxmhCenBzGuaf08A83HMHF21fwmzeGkZHCAx+bwZcvWsLho03sn2vijvPm8eNrptHWGr8+MIqPbepg97VTuPpUwv892EJTEXZ/dAFf+PgsXj3cwr75Fu46/yge3DWNRgrsOTyMj29exUOfmsWHNq5iz8FhDEWEB6+cwu0fmcPv3mrjUKeJ2/9kAfd9egbJUoxnZ1r42OYO/un6I5jYmODR10cw3tR46JOT+NIHVvHyVBOHVmJ8/4NL+P5VM1hZAJ6YGsGVpy3jb26cxPkjCfYcGsYpzQy7L53Drg/MY99kGwdWmvjuR2Zx36emsbSk8NTUCK7btoIHrpnGRDvDniPD2DqU4pGrJ3H9BYt48vVhHE0ifO+CWdxz+RyWl5p4bqaFm3Ys4RefnsKWkQT/+41RTIwnePiqSXzxzFU8frCN1TTCDz+4hG9eMY0j0w38/mgbN+5YwiOfPYINKsOewyM4czzB7stn8MkdK3j2yBBWkgj3XzKNez85i9cnW9g718Kf7lzEj3dNYzxReGq6jbPGevhPnz6Ci3Z28NQbw0hI4eeXz+G0DV38j1fHMN1lN2r1u8VU1q/ULhxLdxywqzG+mdi2bc4/awQXnrUOcYvwr0/Po92MsPubE/jylafipUMrODSd4O5dW/HD27ZhtZPhqf1L+PgFY/jV98/GztNaeGLvEsaGIzx821m4/tIN2H+gg4MzXdx78+n4i1u2YamX4onnl3Dtxafgp3dN4PzNw3h03zw2rW/iF3fuwPVXbMSz+5dweCbFD24+Hd/54mnodDP8dv8ybvjEejx8xw6csaWN//PsPM7Y1MLP7tmJGz+xHk+9uoSllQzfvWk77r55K2ZmU7zw+jKuu2w9HrnnTJy6qYFHn53HxJY2Hr5zJ3ZduAHPvLaIlW6GH3zpdHz7S2fg4HQXv3tlBZ+/dAMe+tYETh2K8OQry5g4vY2/v2snPvKhcTyzbxELyxkevGMHvnHjFhxe6OKl11dw65Vbcf/tOzDaVtjz4iLO2TmMv/3Omfj4BWP4zcuL0Blw/807cMsNW3B4uoe9b67g1hs248E7dqA9pPBvz8zjI+eM4qFvTOCKc8fw2L4FtFsKD3x5G269aQv2v7GC/Qe6uH3XZjxw5w4oIjy5bwkfPW8Mj9y5A+efPYI9Lyyg2VB48K4duO26zXjxwDIOTvXwtatPw31f24Z0FfjtH5bwkQtG8fffPgtnTwxhz/MLGG5HePj2Cdx8+RbsP9zBW9Nd3PP5rbjvq9vQTTQe+/0CrvzwOH7+52fiA1va2LN/EevHY/zytglce8VGvPzaMl4/0sUPv3IGvvel07GSZnh67xKu++hG/OT2CUxsGcJjL8xj66kt7L57AjddvhFP71/A0YUM9954Br7z5dMxv5Dh939YxnWXrMcvvjWB07a08Oun57F9Sxu779qJGy9ej2deW8JKR+N7nz8N9375dByeSfDcqyu48dIN+MW9E9g4GuHJ/UvYsbWFX915Fj764TE898oS5pcz/NXt23DPn56GQ/NdvPDqCj5/ySb8+K4dWNds4ol9Czhr2xD+9s934tKLx/HES4vodDV+dMt23Hn9FkzN9fDiGx3ccu0mPHDbdoyNxvj10/O48OxR7L57Jy7/wBgef2URUQQ8ePM23HLTFrz2Vgd731rFrddvwk+/MYFmE9jz/CIuOmcMu+/ciYvOHsNv9i6g2VR44M7tuOOmrXjhjSW8daSHr161Bfd/fTtaSYSnXlvEReeN4u/u3olzzxrBY8/No9VUeOjrpk++cmQFb04luOczW/HDW89AkhD2vLiIyz44jke+cxbOPb2Fx19ewthIhEduOxu7rliP/W928MZkF/d+6TTcd8t2rGYpfvP8Mq65aD0e/PoEzt06isf2zuHU9U387Bs78NmrT8Uz+xYxM5/igS9sw4cuGMOe5xbw6qHV4pVcwL4UJ3A1m9Wf5tlT2L3rRvSj4/iOo79XAblVchGZ8//+QAP/5b+N4W+Gl5FmhjXTwAoSEJm3ixEBCQirmuwjOwqrpLGKBJm9Iqu1wiLS/AKCBhIkWEEDmsyVlx4Rekr7G9gIhC4SpPaytyZgCRmgItOGABAZuVqBkhl00wQd9KBJe9e6lCLRTX+XSQ8pVpD4x4u0BjrICleUE0qwSgQio7dDGhkydqcaYQUp3HdSNQFJS2FkbNzbnxGhQ9rf4dMjjRXVQ2Z3GH9SEJlXhWsCMqRYsToIQE8TugXbCD2VILFtSAMrSDEObeSQgrJynW0ZYPQi8/51SaNH+SNWGTSWVeLfRplpYIlSc0WdjB6NFCvOHysjURkI9lXnBKxQCvf9XdLGDg3l/ckISFuxz4OUCB30WIwVOpR5u0y71MhxbWy8fEYTkKgMqzrPnS5paJUYTNIVLC928frUFJYWI+hkGN1OhsML0zi60EG6miHRKWYX5wHKQAzEDRoAABrbSURBVNQGEENDo6N6SN1dAgQsI/N3GWiL7jLp/N0tZHLW9A0CNNCjFInLEw0s6xQNleOoNbCCDGRfepCB0FE99EiDYPrUqtYYQuRxJBCWbQ6DgJRMHigiIGqi0ToF4+MdvLWS2n5iY44EWtuI2Tzx8SJgFQm6UDYnFXqa0EFm7zwhaCJ0KEGPCBkBvz3YxO9ebuO51+1twfGIuepIXeQUPD3PtsUht+HfHKbYC21gXlDkb0Uj9DLgn/eux5YRjQZpH5skMjZqi3NKEboNQmafU8gA9BqENHLqFBJ7dYFIgRSQKaDb0NBWuSagGxM0mauLRICOFHoR+XxNFJDZd5oQARlF6MUKKXxKeL2kzOu3E4rQi03+g/MohzvQi4CEItOfYOztNbRvkwFIYoBsnmgCUhWZPkpGVy+yel0/J4VeAx4TTUZvwv0B0FMwmADIoJA0yNYKBU0K3VhDIzaYgAAVoxdTnp8A0ibZ50+t3lgh8fkMJJGxX9tcS6HQjW28yNSOpEEmRrZNLwKaOvJ3FBEUek1rm23Ta5C1y8UnRi9KfaolCrk/ZGzrxoQUEaCMD0ls7PO22nhk9hkaUkDaILhvumsCejGhpWLbRkEjNjhZEJw/GZTNJYWeMni7fp5EhF6DfH1xtnm9BKQRRP4RUhXlNRQRktjkh7HN5g3Lo4QidKP8An9q88995U6TQi82+ef0pBHQdbaRye9ubPLd9cEsNvbweOnIfJ+WFKApzmVAQQPoxhqZjSXBYAKbfwCQKm6bgtYK3QYhdbbB9NueImgASz2FR19rIIkV5hP7oFHw9kxU3AJm9AQpeNtqaNFo9v3L/5rCpvVNnLO1besSoZtm6FEG7eYFGdChDKn9JrDOCB1Kkep8zOilhK7W/gWvKWmsIjXPTQLIMqCjU+gsrzmZ1lilDGSDmqbmtxkPbM5qjV5qxgfSwKrOkJDyY0aWmrE3Sw0mmQa6SJHYsVcT0E0ztNlYlWmNDqXI7ECapUCHUuiM5Wym0dUaZKc6SabRhbENUCCt0CXtMSFtMOpRZr4UBUKSGHuzzOCdasIqpehl2uYJYVVniDOHo/nYfAcZtMeEsEoZMtsRiAi9jNBL87luN9M2XrD+qNw/O573KEOXMq+nl2r0Mm1tdXPDFGnKYq5TZJmLhUKaaazqzOBEComNV2ZvtdaZyYEkdf4QepQhocx+Msn40yHjn3tHUJcy9LSZn5A28Upj2DGfoF28bHHWqbE106awERm5XWX8AQGJ1uhSauJFLv8ypEk+j0sowyoMPiAgSTS61j/AfKuxS5n5xAvg4xVpi5vHKUOWOewtjuTaAF0bL58XpLFKqa85Jv8yUGbmD9rZr7O8f2UaPW3ndRrIMmNLmro+6ea6BCLns0In1XbebfKvS2k+t83MPC5J4cfnhLSND6HT03jspUWcudTGoTn7mJ1CXquA8K3X/rZZ2KlVRa1idIyf47BKTZdAsRjK30yJIv9ohCYgiux7HbSd6IAQ20HVvdHQPeqQ2UBEyrzdzLQxPLE90ecmdrH9lnCmzaARK0JkB7PMfC7I6LF2wMpVEZB2ZwCdIrK2Or1ej2sDhUgRlOWBxT/2bRSgCO61Ic7WyKLjBl/3WI/XE7XRbG8oYBLZMUpbuXFEUPa3JmNH5PzRua1guHlMJI4CEzdJ4phk2uiNFHnsM1JQinI9tsBEysQ1HdRGObm5bdrlhcof46qMVwSAEujejPfHrQu0w35AvPxjNMj7j3tqLxwvJfLC6GlwvWCYBGMcsE0BMSwm1KdNwTaF2E5SuB53VyYxuW4AgSL/XDXHhOefwTqCVuOgyHwDyfdJhn2eSyz/WJ9s2HhlvI2qyiWLPbcdyghMJlldsft9jZElS5nPcWx2KwLG59hdQSQyyT26xTY1+5Qy32uDMoOW7xfIFx7Gf/ObSCGKTGw0Av3P9YvI5FIGc/IrsjlQ6n8gZFrl/cLVR2tXBAIpM9FSEYsv06NA0KRKjw1mSkFpQhyZCUSe44RIKaRkII9j90JWgoYJZLEuG5+Vja+vsTYnNPJ+7tvIvJFtWP10E1QAiO2zLLyOeRxJQSHvSyaPjFxXXwp9ydri9cDWJOsfUMxXbltk22iGtW+jAbJ6fV7YvhUjr2so1FizMI5t6jlMfBuwvFAs/5A/muJruc0D7fyBwF7B1j6V91nLU2qjTH6CKI+Xizm06aNQpm9EsLWPzAkRX4NsDjtMXA7D5rAYqyJFUFDIYPPPjQc875VZtGfaHIsjkRfK5LDLP4OjsUvbCRIfd3ztQzgvfD9mY6LRY/ZrKDPZdQO/K568TLkaJM/qr8zln+MA57MNibWH1cF3uH7L6gOQ1383rkbKvGExy0yMlAIasVn4+Foem9j7NhEQK8PjHlGNY4tJxvTCLJZMnzT1QGszaVdKIY5MfrsaWmqjABUpO88hP29wk3run5vcR5H5y7RZDERKIYrsSTc7ffV90i4c49jo1WTsM3rMCU2fSzGT4ccqs6DSTq9ibRS8f7mt5o6VLDPYxpHZp3XOE8cs7wFEMZunWkxcGzcmGj3G33xMUH5h6PRkVo+KVF6rbQCjiMVYm8f6I2XbaBZj4nmvbG1zmJia7ubd3jYK5JKdkESRMvHKlI9xbE/oafuh4SgG4E8o5GNensM2XjZPfJ8Ex8DY5mIeRfkawdUpnhcml2wbnveyjX0msDCG2xMJef+yeZ+RwN7FOMee91F3ssHPbVHERPEctnq1zT/fV7TBzceY+RPbQUJrs6gvLcn4FEqJfZaGr3sJK7/q/zmOY1g4PuSalDWVqI9VJR5ZcUMyIPiOR3+ojd3nP7nBoeDt+b7ApLVkX6hdyA+3yb/TuBY/qvRWbQ+yrx9flS/Hy3c8+Ln9bF9vGvDns/vFiMe+yr5+GPfraWvBYBAmIdvksVCbfvL68VXkZzQCNNahTMeLXciHKr4Ab7YIZEsBHi6HtTsdwCa7u/SSkIDfw5vNSConePy/k6+Q/yYrE/34FPxXY6Sf8rkCEjzeVMVcZphVVWtpu8OBX2nluvlvIF8lha6ADCq3VRSSxYm9gKToC3LsOBZ8qKqKWcFHJVKG8zG50tZ+cv3LVZDPpBxAIf0I2VTBH8KKkJ/V6sdXRYP45fGQ3X3t68dX1fcRwAplLFweuH7l81nmp5Dlcj90rAoLXpKCfYDLCbgl8QrRylHgmf+an5mqwkPqkJjyD5aH8jxEQd+tLK7H1zGhHyj6X9CPPjEvqlvztO1YyKdsoK65mhmsF8IP6YNG/oKZ0mcbAsb2wxgo4+z6dqhtyLZ+NaIKN9fG+VJFYjitlocAXhU2VtnNSkxBj7eR4cP7FV8IVZSVkj0h2wdRqG0//KpOHpX42PE/xpa1jhsh+VXjEuvbw9cPXjj2SyVBgQ5R2CaUkSlUH8EjZRPj66c/dFy2DSFWqvSGkmmUP+/Aefm+ymhUyy9gIW0n5N9phOAjsW+AH5Xb/Y5VZS63We4PyZfHQ/EP8VblSRUxWfEw41fo317asFY/3HbIvqo8HFTRquTy/YPyl/+W/of298kn1Qaam4DGeDXPmipilX0SN75f5guTF49V6JNyRBwKYtmg5S4hk2VybzHjvAUZKm8H9luhONhzPXwhoRmGBddEG+m6eyuj84Pfcw0VGICZXe6YYu3lG0K5L5zcYihEhe7FjNVsu6q0h85LEsEvBORxN/F3/oRKmRI+KWa7Zj66SR9v647JxSgvu1y+JL8g4cerMBYyvE3cDhT5PQaUb0ucOfnckPtFnsljVYsB31YVf4cw9u2r9AsZxLarJj5VCzSXC/7EiLSBbQ96y7FCEVeJcYhCw6a3gcq5Im2UMgqCkPtHAWY38XdtfFmnct4EbRf2SVlcD/+t+X5ZH8Vx6VPIlqr6wo/38wEoD0uFxUSohjHbPY6urlCxrbsFye3ktV/W/JAz8uSFH2sQxtmdXCzUEia+omsVfAdQeCOnxE8JX6pIWaEOF07ORuJ4iWOFviV4eH/mMqQeb6Mq/Cscd3aWbO9DvtahOr+qyPkXrQHjqnGyYGcFxjyeso085vaJEluwme8v1Er3VwGazNUKOoaFo5Qe0uZRC1ggeRwfP14YKfro7neMyw39ZzqSWZgrjdweJXi5bZJHBY5LW6p+A/knNyRP6D/PlhBV4c23pQ0y84IzP5RxlTbxY9J2iX3oGNfTDzfWPh5FMX2r2g8iiVlwpjqgbVVceE5XjQKhgahfHELxIPEXaifyQTWAxgbznVDVCPDLbe5TaLvK5lDMQ/0ygHE0VLS5EmPATxglBG6w4oOWgnlQoZC+lA+AfBLptv19hyhPnN0iiH+LkS8w+HejnB1cfqxQPGPJjvNPB1QtIOSk159lptwvSXJiG+LjEyB5zC2SeXgVAouKClICk1Cb0ABdSkdVjI20nU/IS5+5YPrcwvl4JhdFg0T+BSYIoeNV+Je+0ydyfC3lTuZ0YRHhcGDHQidRKhdXrO/yBQpfsPoFTuBYacK8BofkCYWqXJbl0S8UmW9kN0I5yGWGroz345cneArTBlG/C7EMYFyYCAZ0ePkBGynAt5ZZn4KYLKM4eSViE/lQe4nJH9OnmLyqKY7TUVLDMHa+21vaQ2yVJ0LcAiLkcGnCrwK2VRDHUGLs1PE81YxXcaYA6YrtKqqyl5/sckScWdZpsMUmivkta0tBZlhciWEtNYLbFzp5JMdhR/zEgut3KmRswNaCrxX8g6aShT6G3A8VwNjxcKyBcv8uhEqF86ygdDAd48KRd6p+wRs0oXQ8g3qXjEpowhziV4Kf/7fb/vbUwLHC71LVF/+lbXKf/O8SoW0m7SVbZVtO/WyQdnNZ/H9IXlVb/lvur7KpSk8o1hL7Qf4Kikf76AQ7xmMobe+nc1Du8u3QPmn7AH/65pTMJSlvEMasqsTj5ipj1A74VDmion9/C+R4pT1VuST4ohHBM6BtaHImrz74RZguT7YUipNf18bx+UWc0OsWNPxstBuAgvaI9vxh28IVN+cX5fr9A4qqKLNwRpLZrBgG8uoT/815jFJ2FVIsAPyCRkzAKPTb+cRkOJGEXAa/+lN1ZdRP8kUeOiw4RgVf2agqFxhSZ+jWHx6Xfu2qdIXs5bLh/GL63V/lrUpclaq2icv0pZDFIHTVt+ADs5PH3p+UUEWZXK+3VZVxkPtCeeLkhvZFgt/h5/AtlETK+0Ept6yvcmHY7yqt9I9jFOL1fYjZyItVoaTxmFs5brFTyD9uH48Vy0OfJ85nnwD9fePjJc9rfxshir649nKRyPt/qFaDt7G/PX+gP3n7IHQxmwp55fSSGDpkv3L5Qbk46YsSdnI7CrjweAv+kF8SNydLhsrZH7HfTn/BXl7TmW4/fIdi5X67fsP6hZPtv+0JFPIqcsZwQx1eDPvSyR1uq3C2wK/K24UYyP8uBszPUF92fsq2rlZwrEP1jJitpWDJHOW4qxxLWTMV5XlGzA7FcM0Bgs9v3q8LfRk5jzvOfeN9JIhxNR3nFUfRmas6OYBSwSjwy9+q4ne/7ZAuDpaUCbto7AV4uT38Nz/eD1Ql/st9LtnclcZBfvLfId5QmxD+3PZ+vFUyq9oGCmGl/fJ3SHcVDrJ6Wj3xKMzrIaowkv/7+Rvo+JX2h3J/rTJDfUTyDMJZ5nmVzUJuNAQ0N7MFd0gPlxHCsUpPCLtQnQj5UaEnagZ0ShLF16uhIouccPArN4UFjuNh/PwWGT7x5C5V3eoWmvTzY6GrOwA7s8xto+rbO/k2v002tMgN/dYCHz4xLFwpEr95myrZchHErxxWLfCdXOePS5fCgF9BbuLBF2WlySJyHfJqGD/GbZI2u20uNySL54qUmysrxr+UZ6xNASsU2/FFZ8kOFH3gOMkF0FowLkzKmZ2hqzYh7Pkxrrdgs7Al5Kv0LTRBDdmgReylLQV/pW2Btpy3YLuzgVh3DMRVEu9rblLv5fP4uGOippb8UnnbkL0E+NcWQxWPyRrtQuxsLMSpIv9LE2qJHefnsgK1QfI6+a52F/YPyGV/SAVqjMSf4yjskfzcL4+xKuJcyCFVzFcBW3AcDNWtQr1x8l3uBXS6fYXFpANC+OviXah50t+AXaGxzvsqco5E/OT4wf0i0Z7jNyjf3TYF+nY/fv6f++DHCFYfnD88DhxXL4T3IYi2ZReK/Zu1lTWxgIkqznE8fihjPICOY+Eoghw8thYZjkIdutRjBL8sPIFgl+Rb3mQa+ZXG0CTW8VYFOaQrZG8Fn7/S2I8qio8nqWetJG0K6ZHE8SOxT8quklPFL3GnPrz8OLMlHhc8sk0VhqF9VTGu2g7xSp6QzCqbHI/EpZ+9kp/rcAWsCTQ2AY1TAFU6ZSn4q/RJDEKDjLSP06A+E5IJmNto15jjockLL4SFSbIudnNXUBXKg5ZGfqVPDqDK/nC65SLH6QWTHSo1hYHbbrtvERUmACjeEhsKv/fBkmZy3LZr4BaMEZNd6JKU28XPNPNjHlMx6MjFusdnQB3xMKgcLznxCy0YuD9Ol9dDRYz9AKuKsgu+Bo45WwrDkCpj4mzhx1zXkxjzF754m1UxL6ECeOauhU8eON8FRhKHkA98X6F7q6J+Z6frH85Ohy+/Si67uly0c3J6fX9SZYwK+Ydy7ss89nlqeeVVS56/8iU8nM8J57f5hvKTH3dYOQAkxgV/ynCUxr7SxJ0COIpclyfEiPE5G+VzwaX8Ye0joHjLIoQekYPE7WR9UvpYyM1A3wSV7eGTb5L8yPXwOl9oz7dVbluhr/XBuKpe+BekMYwVa8dl+FtoWZ1RMBgXFqVOFpMLYWdhv7SN8lzjsXI8muthY1wBNz7gMH/5fx5LXxOZTSAUrgwWZDO8SNjHY+ev0vFtixnHnftZOonAsWD6vZuBfAthDCGjMCaKfNcMV3CMOZ7CFlmrOAbyGHF7qGiLy6l+GA+gY/iOI3My+LvqGA8GP8b3qQr+UCcVxaSvfYI3mQYoHczXl6TPXIbcJ2wuXGk8Ft/64cLbhTALyajyRcahSpaUWyXLbUsKFM2+eMg8Ye3jYUB3YK4g99MZ0icxDcVT2iOPkfgvZYfyOuT/WuwMyQu1cdv2ttR4pA9fVX/u91v6HOIL6ZPxk/ka0KUaLLZVmFgqXEEgxiKLMVNVeJtoYJ9jLqRDoMDKM4N80cDf8AiwAVDocO3c9xI4r+MpvMmTm2T3y8mw2+d45JtT+bOYAirfnsvn+yp9EW05v8RVLmAgjkk7pb+E4ttZI6FL+uBUFCYfTFfpbLo8xvcJWyQmJf3CxRAmMj6+ywkdXldpo5gfMi7Sv1CelE60oE/8hVxHvFTImHPbPH9FHEJ9x+GBgB1VpbWqz8lFNJ9cFXwR2MtQhOREIZ1Or/Bb4lH6HeiH0qDCsCvw5PJk/OWispB7JUeLPPLSQ0ivrPE8rwriVZld5jXZfTzvCz7IfiDsKtkkZEkfQvoL/XEAxkrKRRl/CL4gxhwvwcfjxLHlACsUfQ+lkLPFvbRHKeS3nHIseaMQPkJPKd4KpVpYSJGKOJZyS9ZIDk2FDP52VO+aAKOU99J2gTH3LdSvuWE83seKccEHmSsBfkk8FoMwHkDHccVRFMDgNv8tACkh7CKOCn6pcy0UsCuZQXnRKO0I/VXJDf0OyXSbQ+xKY7/AVGFahUs/WYHBulJeKA5V9nB8ZM+niv1VukN2VOmvkNlYj2Iqh+IXkid/hzDmPGvJwxBGUna/POtnA8dcthf7olGguYUtGkN5GdJT5WMIt7XI65dHIT6h37+4pyp/mR1+8LbbfqLA/nuGqDzRdTJ4UXaTcDkxdP/lgoHrDy0oADGJROC4+F3wUWAQnNwh91dOnjn5s85MJ7H9nE9Owri8qsVI6eyolBVYDHBMpXzpn7OztKhEOI0rJ9xUlFc1gef+SDurYkqoxsFf/bV2yDzm29I+qS+EsTyBUJWTpbxkbbyMAHahmIQwlovBUM7KCb30s6qvSVuCGAt/pM+lSWIgB3hfAeAXMFU5UapJFfIKk/xQ4kqM+X4q8rk+xLcrawPlE1duu5chddn/fIEZOhPC6yX3lWPgecRxmX8FnQHf5ELX2e/kF+qYErZXEbPLyeFUwJWK2wU+hrGsK7L/Ku4zx1hgXQhloEYXToIJXs/DeEt4Mz9UaB+zQ0kZwpeCDc4myuV6n4UcIvirYYX+RrkceZW7hBngF0el/QF8Sewr5T1XFcCYkOdFoe9QbjcHyJX60tVR5Bgpti37h8TYj+HOfp7Dwk/FMbT7Qo/FDKA1XXGkdAjDn/rVWljfnUTpmsB4x0hFgIpPnP73A5EGKBvMd7KTUgDiiknye5DWGtem/QOC42DpvEgUm35JgWOO39sg9smxgPNwXSrAWyWrn0wpT7YP6a2pppreXaQzYOPRE23F2mmNVx/e8zrXSu9W23jNL5zAQ/8xpUpOQV7F9rHYIk8qDrq6Vanf8R+jIceqPyTnWDCutBvVGIPtB/q7VyW7kj/gcx+MKR28VlFEJ3JF9c7TzMwMkiQZzPgOUbvdxoYNGwYz1vRH08LCAlZWVk60GSeEGo0GxsfH0W63BzO/h2h1dRVzc3Nvu9wNGzacdFjVVFNNNdVUU001vZN0jM84vreoXjS+v2jdunXQWmN1dfVEm/LvRlEUYWxsDCMj8jnGmvpRHNd3ANRUU0011VRTTTUdC520C8d60fj+pPXr15/w2P97kFIKo6OjGBsbO9GmvKP0Tt0QUS8ca6qppppqqqmmmo6NjvM7ju9uOtELh3rReGJp48aNaDRO2nMiGB4exubNm0/6RSMAaK0HMx0jRVEE9W58VqWmmmqqqaaaaqrpXUwn3ey6XjTWpJTCqaeeitnZ2ZPqymO73ca6deveV1fLsuztf+HR+wm/mmqqqaaaaqqppreLTqqFY71orMkRXzz2er0Tbc4fRa1WC+Pj42g2m4OZTzJK0/Rtl9lqtd52mTXVVFNNNdVUU00nO500C8d60VhTiDZu3Piefdtqq9XC2NjY+3qh804sHN+PC/CaaqqppppqqqmmP5ZOioVjvWisqR+tW7cOrVYLCwsL78gzc283NZtNjI+Pv68XjIBZNL4T8aoXjjXVVFNNNdVUU03HTu/5hWO9aKxpLTQ0NIRWq4W5ubl37a2r7XYbY2Nj9cLGUrfbfdtlxnFcP+NYU0011VRTTTXVdBz0/wF+ddDAuRHFEAAAAABJRU5ErkJggg=="
    }
   },
   "cell_type": "markdown",
   "id": "4a740b60-0955-487c-a6f2-998e6cd8fc51",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "![image.png](attachment:e4a9f62f-9289-4639-981a-53d862d0ffb4.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60a37a3f-3ab9-447f-b73c-78bbaf61052b",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "**装袋法**：   装袋法的核心思想是构建多个相互独立的评估器，然后对其预测进行平均或多数表决原则来决定集成评估器的结\n",
    "果。装袋法的代表模型就是随机森林。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15a64a15-a18d-4a8e-b4f7-6437e1d87e90",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "**提升法：**  提升法中，基评估器是相关的，是按顺序一一构建的。其核心思想是结合弱评估器的力量一次次对难以评估的样本\n",
    "进行预测，从而构成一个强评估器。提升法的代表模型有Adaboost和（GBDT）梯度提升树。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c66bf38-1bdc-41c4-a09a-4a9f753ceb3a",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## 随机森林分类RandomForestClassifier\n",
    "随机森林是非常具有代表性的Bagging集成算法，它的所有基评估器都是决策树，分类树组成的森林就叫做随机森\n",
    "林分类器，回归树所集成的森林就叫做随机森林回归器。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4f3eb9a6-5c18-4c0a-9725-31e5647a9400",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2bca0462-54f1-43cb-9a33-be6ee2bbf611",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.datasets import load_wine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "69bb5742-2270-441e-b143-67d2c3a607c8",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "wine = load_wine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c7a6ee6c-26f2-4588-b69b-ee640e56b786",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(178, 13)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wine.data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "cefd077f-cd91-4c08-9408-9c434c4ce50e",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split,cross_val_score\n",
    "Xtrain,Xtest,Ytrain,Ytest = train_test_split(wine.data,wine.target,test_size=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "23cbf9ce-eba9-4edf-8223-27b399fbd400",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Single Tree:0.9259259259259259 Random Forest:0.9814814814814815\n"
     ]
    }
   ],
   "source": [
    "clf = DecisionTreeClassifier(random_state=0)\n",
    "rfc = RandomForestClassifier(random_state=0)\n",
    "clf = clf.fit(Xtrain,Ytrain)\n",
    "rfc = rfc.fit(Xtrain,Ytrain)\n",
    "score_c = clf.score(Xtest,Ytest)\n",
    "score_r = rfc.score(Xtest,Ytest)\n",
    "print(\"Single Tree:{}\".format(score_c),\"Random Forest:{}\".format(score_r))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "27eaf005-551a-4f60-84b9-ebba78bf7650",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "#交叉验证：是数据集划分为n分，依次取每一份做测试集，每n-1份做训练集，多次训练模型以观测模型稳定性的方法\n",
    "rfc_l = []\n",
    "clf_l = []\n",
    "for i in range(10):\n",
    "      rfc = RandomForestClassifier(n_estimators=25)\n",
    "      rfc_s = cross_val_score(rfc,wine.data,wine.target,cv=10).mean()\n",
    "      rfc_l.append(rfc_s)\n",
    "      clf = DecisionTreeClassifier()\n",
    "      clf_s = cross_val_score(clf,wine.data,wine.target,cv=10).mean()\n",
    "      clf_l.append(clf_s)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "720b3fc2-291e-4258-993a-281f1e820cc7",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.plot(range(1,11),rfc_l,label = \"Random Forest\")\n",
    "plt.plot(range(1,11),clf_l,label = \"Decision Tree\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9cb3556-4ff8-4087-be33-995495e863aa",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "n_estimators的学习曲线"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5f1ea8d-b546-4bda-a8f6-728c4938670a",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "**规律：** 随机森林的好坏 和 决策树的好坏 成正相关    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1e5094e-f88b-420c-ac5c-11280a5d27ba",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "**n_estimators 学习曲线绘制**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "101e5f3c-76a8-464f-8e57-ae83fb159871",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9833333333333334 18\n"
     ]
    }
   ],
   "source": [
    "superpa = []\n",
    "for i in range(20):\n",
    "    rfc = RandomForestClassifier(n_estimators=i+1,n_jobs=-1)\n",
    "    rfc_s = cross_val_score(rfc,wine.data,wine.target,cv=10).mean()\n",
    "    superpa.append(rfc_s)\n",
    "print(max(superpa),superpa.index(max(superpa)))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "e4f8d44e-7155-449d-b774-40507f425b5d",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[20,5])\n",
    "plt.plot(range(1,21),superpa)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e0152d9-61b8-4a38-9d7c-2f165fbc8586",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "随机森林用了什么方法，来保证集成的效果一定好于单个分类器？"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df80cce9-8192-47fa-8d84-1fa747ae5bd6",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "随机森林的本质 是 一种 装袋集成算法（bagging） 装袋集成算法 是对 基评估器的预测结果平均 或用 少数 服从多数的原则来决定集成评估器的结果。\n",
    "例如，我们建立了5 棵树， 只有当三个数同时判断错时， 集成评估器才会判断错。\n",
    "假设  一棵树的 判错概率为 0.2 则三棵树都判错的概率为：0.0579\n",
    "**注意： 一个重要的前提是  基评估器（这里的 基评估器的 决策树）的预测结果 准确性 最少要 达到 百分之50以上 否则就回越来越差**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "29836b11-f94c-4ecb-bc7e-faceb9a5b6bc",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from scipy.special import comb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "5e55defe-5f23-40cf-bffb-20854eb0db0a",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.05792000000000003"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.array([comb(5,i)*(0.2**i)*(0.8**(5-i)) for i in range(3,6)]).sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "217c1780-7f70-4e5b-ba6c-d195a102d8f3",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### 重要参数 estimators_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "a3a75b7e-e90c-49fe-ae7c-b053409b0b90",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(n_estimators=20, random_state=2)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rfc2 = RandomForestClassifier(n_estimators=20,random_state=2)\n",
    "rfc2.fit(Xtrain,Ytrain)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "43a2d467-5ffa-4e4c-a46b-5f901200fb35",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[DecisionTreeClassifier(max_features='auto', random_state=1872583848),\n",
       " DecisionTreeClassifier(max_features='auto', random_state=794921487),\n",
       " DecisionTreeClassifier(max_features='auto', random_state=111352301),\n",
       " DecisionTreeClassifier(max_features='auto', random_state=1853453896),\n",
       " DecisionTreeClassifier(max_features='auto', random_state=213298710)]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rfc2.estimators_[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "7cff5c9a-4ba2-4493-9ac3-f7b6f4df06bf",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9629629629629629"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rfc2.score(Xtest,Ytest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "a10f4612-6d12-45ff-b05f-4619eaa6bff5",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.18354373, 0.01795786, 0.01282391, 0.01881506, 0.03476482,\n",
       "       0.06540983, 0.11864286, 0.00746185, 0.01546242, 0.10124211,\n",
       "       0.09553771, 0.14364903, 0.18468882])"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rfc2.feature_importances_  # 这种越大  特征越重要"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "3d8041c4-c3d3-42b9-a883-804b833f27f2",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('alcohol', 0.18354372509684183),\n",
       " ('malic_acid', 0.01795785818955903),\n",
       " ('ash', 0.012823911068373375),\n",
       " ('alcalinity_of_ash', 0.018815062636324733),\n",
       " ('magnesium', 0.03476481505893094),\n",
       " ('total_phenols', 0.06540982919141082),\n",
       " ('flavanoids', 0.11864286319603982),\n",
       " ('nonflavanoid_phenols', 0.007461845054941237),\n",
       " ('proanthocyanins', 0.015462416355375172),\n",
       " ('color_intensity', 0.10124211109182447),\n",
       " ('hue', 0.0955377117073634),\n",
       " ('od280/od315_of_diluted_wines', 0.14364903110949875),\n",
       " ('proline', 0.18468882024351657)]"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[*zip(wine.feature_names,rfc2.feature_importances_)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "b7d77fc9-f936-427a-b55b-ce07c8ea7433",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 5,  3,  3, ...,  1,  7, 13],\n",
       "       [ 5,  7,  3, ...,  1,  7, 15],\n",
       "       [ 5,  3,  3, ...,  1,  7, 12],\n",
       "       ...,\n",
       "       [ 5,  3,  3, ...,  1,  7, 13],\n",
       "       [24, 12, 15, ..., 18, 14, 18],\n",
       "       [19,  5, 11, ..., 24,  4,  4]], dtype=int64)"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rfc2.apply(Xtest) # 返回样本 在树 中  叶子节点 所在的索引"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "6a8539df-9efd-480a-8aa2-ed18aaaf84f9",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2, 2, 2, 0, 0])"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rfc2.predict(Xtest)[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "5a75c515-2d5a-4d20-adad-3d5c69c93950",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.  , 0.  , 1.  ],\n",
       "       [0.  , 0.  , 1.  ],\n",
       "       [0.  , 0.1 , 0.9 ],\n",
       "       [0.95, 0.05, 0.  ],\n",
       "       [1.  , 0.  , 0.  ]])"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rfc2.predict_proba(Xtest)[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "f25118aa-7ffc-4a17-95a2-4b172b6de16f",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\install\\python37\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:892: RuntimeWarning: divide by zero encountered in log\n",
      "  return np.log(proba)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[       -inf,        -inf,  0.        ],\n",
       "       [       -inf,        -inf,  0.        ],\n",
       "       [       -inf, -2.30258509, -0.10536052],\n",
       "       [-0.05129329, -2.99573227,        -inf],\n",
       "       [ 0.        ,        -inf,        -inf]])"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rfc2.predict_log_proba(Xtest)[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f51688c8-5c75-4b3c-9eff-1071551b1946",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "**我们发现 森林中 每一个 决策树的  随机状态 参数是不同的 保证了 森林 中的 树 不会 全部都一样**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e01f252-5f82-4305-94e5-867fffdf64c0",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "随机森林 算法 对 数据的处理  默认  使用 有放回 采样 来 保证  每棵树 数据的 随机性,  数据的随机性也保证了 每棵树的参数的随机性，从而提升了模型的投票结果"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d133cca-5b02-4601-9acb-bd4e1d185329",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "**oob 袋外词 分数**  使用有放回采样过程中 没有采样到的数据 作为数据集 进行 验证的 结果 \n",
    "defult  oob = False"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8352c575-1042-402d-ae04-d5cb8c3cda96",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### 重要参数  oob_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "e0421d80-5cc7-4531-9c24-a49763125437",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9382022471910112"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rfc3 = RandomForestClassifier(n_estimators=20,oob_score=True)\n",
    "rfc3.fit(wine.data,wine.target)  # 这里使用 整个 数据集 进行训练  然后 使用 没有采样到数据 进行验证\n",
    "rfc3.oob_score_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "5ec608af-bc91-4476-825f-663e61c08f39",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.12318479, 0.03065503, 0.00630817, 0.01430552, 0.04043979,\n",
       "       0.03166109, 0.17160972, 0.0105558 , 0.01446702, 0.20617543,\n",
       "       0.09823457, 0.12706828, 0.12533478])"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rfc3.feature_importances_  # 特征重要性"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "191a6cf1-0e32-4abe-a22f-a61b2d4d6be4",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## 随机森林回归 RandomForestRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "012b2dca-a774-44e0-9e3e-fa238d022244",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "from sklearn.datasets import load_boston\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.model_selection import cross_val_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "e345a9d0-d590-492a-9305-0ed76f550eaa",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 进行 波士顿 房价预测\n",
    "# 加载数据\n",
    "boston = load_boston()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "517c7b06-2e84-4c00-a4ed-bd3145ade8fc",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(506, 13)"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boston.data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "cba7cd7a-0a27-446f-a1f5-a0578c274ab9",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(506,)"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boston.target.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "d9cea71e-98f6-4693-89a8-38a7d666131b",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 模型构建\n",
    "rfr = RandomForestRegressor(n_estimators=100,random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "af16ddc6-1f90-4aee-b5b9-6b0021b6b0e1",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-11.22504076,  -5.3945749 ,  -4.74755867, -22.54699078,\n",
       "       -12.31243335, -17.18030718,  -6.94019868, -94.14567212,\n",
       "       -28.541145  , -14.6250416 ])"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 交叉验证\n",
    "cross_val_score(rfr,boston.data,boston.target,cv=10,scoring=\"neg_mean_squared_error\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "21b968a9-c783-44e2-9ba5-41289b12e105",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['accuracy',\n",
       " 'adjusted_mutual_info_score',\n",
       " 'adjusted_rand_score',\n",
       " 'average_precision',\n",
       " 'balanced_accuracy',\n",
       " 'completeness_score',\n",
       " 'explained_variance',\n",
       " 'f1',\n",
       " 'f1_macro',\n",
       " 'f1_micro',\n",
       " 'f1_samples',\n",
       " 'f1_weighted',\n",
       " 'fowlkes_mallows_score',\n",
       " 'homogeneity_score',\n",
       " 'jaccard',\n",
       " 'jaccard_macro',\n",
       " 'jaccard_micro',\n",
       " 'jaccard_samples',\n",
       " 'jaccard_weighted',\n",
       " 'max_error',\n",
       " 'mutual_info_score',\n",
       " 'neg_brier_score',\n",
       " 'neg_log_loss',\n",
       " 'neg_mean_absolute_error',\n",
       " 'neg_mean_absolute_percentage_error',\n",
       " 'neg_mean_gamma_deviance',\n",
       " 'neg_mean_poisson_deviance',\n",
       " 'neg_mean_squared_error',\n",
       " 'neg_mean_squared_log_error',\n",
       " 'neg_median_absolute_error',\n",
       " 'neg_root_mean_squared_error',\n",
       " 'normalized_mutual_info_score',\n",
       " 'precision',\n",
       " 'precision_macro',\n",
       " 'precision_micro',\n",
       " 'precision_samples',\n",
       " 'precision_weighted',\n",
       " 'r2',\n",
       " 'rand_score',\n",
       " 'recall',\n",
       " 'recall_macro',\n",
       " 'recall_micro',\n",
       " 'recall_samples',\n",
       " 'recall_weighted',\n",
       " 'roc_auc',\n",
       " 'roc_auc_ovo',\n",
       " 'roc_auc_ovo_weighted',\n",
       " 'roc_auc_ovr',\n",
       " 'roc_auc_ovr_weighted',\n",
       " 'top_k_accuracy',\n",
       " 'v_measure_score']"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import sklearn\n",
    "sorted(sklearn.metrics.SCORERS.keys())  # skleran 所有  打分 指标"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb6c39b0-a6f6-4a4e-b71c-7c5885fe31fb",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### 实例： 用随机森林回归填补缺失值"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37301715-c6e4-4577-b6d6-9669f388bb1f",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "现实中收集到的数据不可能完美无缺，都回存在一些缺失值，一种有效的方法 是对 缺失值进行填充，在Sklearn中，我们可以使用skleran.impute.SimpleImputer来轻松地进行平均值，中值 或者其他常用的数值补充到数据中。案例中， 我们使用 均值，0和 随机森林回归来进行填充缺失值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "0ff57ba3-04b3-47ed-805b-bf71500737ab",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sklearn.datasets import load_boston\n",
    "from sklearn.impute import SimpleImputer  # 填补缺失值的类\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "from sklearn.model_selection import cross_val_score\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "6b6ef1e3-9f35-47ac-8b1e-5ec5b5335252",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "dataset = load_boston()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "bb77e2fd-a694-4697-b694-b6d529cd91c5",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(506, 13)"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "fc0c03b2-67b5-4e52-9302-d40fcd9a090a",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "X_full,y_full = dataset.data,dataset.target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "eab69437-b154-42ca-b12d-c03fa3982cd8",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "n_samples = dataset.data.shape[0]\n",
    "n_features = dataset.data.shape[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "139771fd-5f63-4760-8058-1182e1cd4f3c",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3289"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 首先 我们希望放入的缺失值比例  在这里 我们假设是 百分之 50 那总共就要有 3289个数据缺失\n",
    "rng = np.random.RandomState(0)\n",
    "missing_rate = 0.5\n",
    "n_missing_samples = int(np.floor(n_samples*n_features*missing_rate))\n",
    "# np.floor 向下取整\n",
    "n_missing_samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "1dca35f4-4c19-4dbc-8653-cbd3143cb064",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 6, 12, 12, ...,  6,  2, 11]), (3289,))"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "missing_features = rng.randint(0,n_features,n_missing_samples)\n",
    "missing_features,missing_features.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "ef1b72fa-b1dd-4aa3-b7e1-12af67fa1925",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 73, 414, 190, ..., 203, 469, 475]), (3289,))"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "missing_samples = rng.randint(0,n_samples,n_missing_samples)\n",
    "missing_samples,missing_samples.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "ec96ad65-4a93-49a1-94c7-9e5b7009b811",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "X_missing = X_full.copy()\n",
    "y_missing = y_full.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "9d37154c-f629-48ba-8b61-2caf9898662a",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "X_missing[missing_samples,missing_features] = np.nan  # 创造 空缺失值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "d146fcd5-bced-4e72-9103-e453ed51de1f",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[6.3200e-03, 1.8000e+01,        nan, ..., 1.5300e+01, 3.9690e+02,\n",
       "               nan],\n",
       "       [2.7310e-02, 0.0000e+00, 7.0700e+00, ..., 1.7800e+01, 3.9690e+02,\n",
       "               nan],\n",
       "       [2.7290e-02,        nan, 7.0700e+00, ..., 1.7800e+01, 3.9283e+02,\n",
       "        4.0300e+00],\n",
       "       ...,\n",
       "       [6.0760e-02, 0.0000e+00, 1.1930e+01, ...,        nan, 3.9690e+02,\n",
       "        5.6400e+00],\n",
       "       [       nan,        nan, 1.1930e+01, ...,        nan, 3.9345e+02,\n",
       "        6.4800e+00],\n",
       "       [       nan, 0.0000e+00, 1.1930e+01, ..., 2.1000e+01,        nan,\n",
       "        7.8800e+00]])"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_missing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "2a98d8c4-ec38-4c7c-8ce2-fae10df37379",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
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       "      <td>0.458</td>\n",
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       "      <td>3.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>18.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.33</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <th>501</th>\n",
       "      <td>0.06263</td>\n",
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       "      <td>11.93</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>391.99</td>\n",
       "      <td>9.67</td>\n",
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       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.93</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.573</td>\n",
       "      <td>6.120</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>503</th>\n",
       "      <td>0.06076</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>11.93</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.794</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>393.45</td>\n",
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       "      <th>505</th>\n",
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       "      <td>0.0</td>\n",
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       "      <td>80.8</td>\n",
       "      <td>2.5050</td>\n",
       "      <td>NaN</td>\n",
       "      <td>273.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.88</td>\n",
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       "<p>506 rows × 13 columns</p>\n",
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       "          0     1      2    3      4      5     6       7    8      9     10  \\\n",
       "0    0.00632  18.0    NaN  0.0  0.538  6.575  65.2  4.0900  NaN  296.0  15.3   \n",
       "1    0.02731   0.0   7.07  NaN  0.469  6.421  78.9     NaN  NaN  242.0  17.8   \n",
       "2    0.02729   NaN   7.07  NaN    NaN  7.185  61.1     NaN  2.0    NaN  17.8   \n",
       "3    0.03237   NaN   2.18  0.0    NaN    NaN   NaN     NaN  NaN  222.0  18.7   \n",
       "4    0.06905   0.0   2.18  NaN  0.458    NaN  54.2  6.0622  3.0  222.0  18.7   \n",
       "..       ...   ...    ...  ...    ...    ...   ...     ...  ...    ...   ...   \n",
       "501  0.06263   0.0  11.93  0.0  0.573  6.593   NaN     NaN  NaN  273.0  21.0   \n",
       "502      NaN   0.0  11.93  0.0  0.573  6.120   NaN     NaN  NaN    NaN  21.0   \n",
       "503  0.06076   0.0  11.93  0.0    NaN    NaN   NaN     NaN  NaN  273.0   NaN   \n",
       "504      NaN   NaN  11.93  NaN    NaN  6.794  89.3     NaN  1.0  273.0   NaN   \n",
       "505      NaN   0.0  11.93  0.0  0.573    NaN  80.8  2.5050  NaN  273.0  21.0   \n",
       "\n",
       "         11    12  \n",
       "0    396.90   NaN  \n",
       "1    396.90   NaN  \n",
       "2    392.83  4.03  \n",
       "3    394.63  2.94  \n",
       "4       NaN  5.33  \n",
       "..      ...   ...  \n",
       "501  391.99  9.67  \n",
       "502     NaN   NaN  \n",
       "503  396.90  5.64  \n",
       "504  393.45  6.48  \n",
       "505     NaN  7.88  \n",
       "\n",
       "[506 rows x 13 columns]"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_missing = pd.DataFrame(X_missing)\n",
    "X_missing  # 带有缺失的 数据"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce8b54c3-0ef4-44df-bed6-637e4cadffd0",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "#### SimpleImputer填充"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "d6c475ef-f6f7-41ca-9fac-370138eac4e7",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[6.32000000e-03, 1.80000000e+01, 1.10469032e+01, ...,\n",
       "        1.53000000e+01, 3.96900000e+02, 1.28744040e+01],\n",
       "       [2.73100000e-02, 0.00000000e+00, 7.07000000e+00, ...,\n",
       "        1.78000000e+01, 3.96900000e+02, 1.28744040e+01],\n",
       "       [2.72900000e-02, 1.17023810e+01, 7.07000000e+00, ...,\n",
       "        1.78000000e+01, 3.92830000e+02, 4.03000000e+00],\n",
       "       ...,\n",
       "       [6.07600000e-02, 0.00000000e+00, 1.19300000e+01, ...,\n",
       "        1.86077399e+01, 3.96900000e+02, 5.64000000e+00],\n",
       "       [3.60944367e+00, 1.17023810e+01, 1.19300000e+01, ...,\n",
       "        1.86077399e+01, 3.93450000e+02, 6.48000000e+00],\n",
       "       [3.60944367e+00, 0.00000000e+00, 1.19300000e+01, ...,\n",
       "        2.10000000e+01, 3.58408875e+02, 7.88000000e+00]])"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# SimpleImputer使用 均值进行填补\n",
    "imp_mean = SimpleImputer(missing_values=np.nan,strategy=\"mean\")\n",
    "X_missing_mean = imp_mean.fit_transform(X_missing)\n",
    "X_missing_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "80a80151-adc0-4e2c-988f-a0325015122e",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
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       "      <th>2</th>\n",
       "      <td>0.02729</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>222.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.06905</td>\n",
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       "      <th>5</th>\n",
       "      <td>0.02985</td>\n",
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       "      <td>0.458</td>\n",
       "      <td>6.430</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>NaN</td>\n",
       "      <td>12.5</td>\n",
       "      <td>7.87</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.524</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>311.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.14455</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.87</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.524</td>\n",
       "      <td>6.172</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>311.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>NaN</td>\n",
       "      <td>12.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.631</td>\n",
       "      <td>100.0</td>\n",
       "      <td>6.0821</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.17004</td>\n",
       "      <td>12.5</td>\n",
       "      <td>7.87</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.524</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.5921</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
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       "</table>\n",
       "</div>"
      ],
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       "         0     1     2    3      4      5      6       7    8      9\n",
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       "6      NaN  12.5  7.87  0.0  0.524    NaN    NaN     NaN  NaN  311.0\n",
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       "8      NaN  12.5   NaN  NaN    NaN  5.631  100.0  6.0821  5.0    NaN\n",
       "9  0.17004  12.5  7.87  0.0  0.524    NaN    NaN  6.5921  NaN    NaN"
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     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_missing.iloc[:10,:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "1aecc20a-23cc-4373-a7d9-e6e1df8a5b46",
   "metadata": {
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  {
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   "execution_count": 117,
   "id": "e7f9e53a-35e2-488f-b5d2-20e702e71f70",
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       "9  6.592100  9.366013  409.590444  "
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_missing.fillna(X_missing.mean()).iloc[:10,:10]  # 和 pandas的 填充方法 一样  推荐使用这个"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "420678de-eed4-4315-ac81-80dde4c4efa6",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "#### 随机森林回归 填充  （非常重要）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "88390778-bffd-4a0e-badb-a4a6b9d300e9",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "X_missing_reg = X_missing.copy()\n",
    "sortindex = np.argsort(X_missing_reg.isna().sum(axis=0)).values  # 从小到大"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "65ffb639-1a99-4714-8634-e93b49efb0c8",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([10, 11,  7,  2,  4,  8,  0,  3,  6, 12,  5,  1,  9], dtype=int64)"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sortindex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "8d616995-a879-4077-991e-7a9bae0454fc",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "for i in sortindex:\n",
    "    # 构建我们的新特征矩阵 （没有被选中去填充的特征  + 原始标签） 和新标签（被选中 去 填充 的特征）\n",
    "    df = X_missing_reg\n",
    "    # 新标签  Y\n",
    "    fillc = df.iloc[:,i]\n",
    "    # 新特征矩阵  除了 标签 列    +  y_full (原来的 target)\n",
    "    df= pd.concat([df.iloc[:,df.columns!=i],pd.DataFrame(y_full)],axis=1)\n",
    "    # 在新特征矩阵中，对含有缺失值的列，进行补0的填充\n",
    "    df_0 = SimpleImputer(missing_values=np.nan,strategy=\"constant\",fill_value=0).fit_transform(df)\n",
    "    # 找出我们的训练集和测试集\n",
    "    Ytrain = fillc[fillc.notnull()]\n",
    "    Ytest  =  fillc[fillc.isnull()]\n",
    "    Xtrain = df_0[Ytrain.index,:]\n",
    "    Xtest = df_0[Ytest.index,:]\n",
    "    \n",
    "    # 用随机森林回归来填补缺失值\n",
    "    rfc = RandomForestRegressor(n_estimators=100)\n",
    "    rfc.fit(Xtrain,Ytrain)\n",
    "    Ypredict = rfc.predict(Xtest)\n",
    "    \n",
    "    # 将填补好的特征返回到我们原始的特征矩阵中\n",
    "    X_missing_reg.loc[X_missing_reg.iloc[:,i].isnull(),i] = Ypredict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "5153111b-2f49-4662-95b0-eca109191ef8",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.00632</td>\n",
       "      <td>18.000</td>\n",
       "      <td>7.6111</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.538000</td>\n",
       "      <td>6.57500</td>\n",
       "      <td>65.200</td>\n",
       "      <td>4.090000</td>\n",
       "      <td>5.04</td>\n",
       "      <td>296.00</td>\n",
       "      <td>15.3</td>\n",
       "      <td>396.9000</td>\n",
       "      <td>7.8465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.02731</td>\n",
       "      <td>0.000</td>\n",
       "      <td>7.0700</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.469000</td>\n",
       "      <td>6.42100</td>\n",
       "      <td>78.900</td>\n",
       "      <td>3.580772</td>\n",
       "      <td>3.90</td>\n",
       "      <td>242.00</td>\n",
       "      <td>17.8</td>\n",
       "      <td>396.9000</td>\n",
       "      <td>10.3781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.02729</td>\n",
       "      <td>12.595</td>\n",
       "      <td>7.0700</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.480160</td>\n",
       "      <td>7.18500</td>\n",
       "      <td>61.100</td>\n",
       "      <td>3.822777</td>\n",
       "      <td>2.00</td>\n",
       "      <td>246.83</td>\n",
       "      <td>17.8</td>\n",
       "      <td>392.8300</td>\n",
       "      <td>4.0300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.03237</td>\n",
       "      <td>20.660</td>\n",
       "      <td>2.1800</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.441347</td>\n",
       "      <td>7.16425</td>\n",
       "      <td>29.109</td>\n",
       "      <td>5.026836</td>\n",
       "      <td>2.61</td>\n",
       "      <td>222.00</td>\n",
       "      <td>18.7</td>\n",
       "      <td>394.6300</td>\n",
       "      <td>2.9400</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.06905</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.1800</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.458000</td>\n",
       "      <td>7.11628</td>\n",
       "      <td>54.200</td>\n",
       "      <td>6.062200</td>\n",
       "      <td>3.00</td>\n",
       "      <td>222.00</td>\n",
       "      <td>18.7</td>\n",
       "      <td>394.4822</td>\n",
       "      <td>5.3300</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "        0       1       2     3         4        5       6         7     8   \\\n",
       "0  0.00632  18.000  7.6111  0.00  0.538000  6.57500  65.200  4.090000  5.04   \n",
       "1  0.02731   0.000  7.0700  0.30  0.469000  6.42100  78.900  3.580772  3.90   \n",
       "2  0.02729  12.595  7.0700  0.51  0.480160  7.18500  61.100  3.822777  2.00   \n",
       "3  0.03237  20.660  2.1800  0.00  0.441347  7.16425  29.109  5.026836  2.61   \n",
       "4  0.06905   0.000  2.1800  0.05  0.458000  7.11628  54.200  6.062200  3.00   \n",
       "\n",
       "       9     10        11       12  \n",
       "0  296.00  15.3  396.9000   7.8465  \n",
       "1  242.00  17.8  396.9000  10.3781  \n",
       "2  246.83  17.8  392.8300   4.0300  \n",
       "3  222.00  18.7  394.6300   2.9400  \n",
       "4  222.00  18.7  394.4822   5.3300  "
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_missing_reg.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "e49207ad-db82-4951-a9d4-7190f7aeac2c",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     0\n",
       "1     0\n",
       "2     0\n",
       "3     0\n",
       "4     0\n",
       "5     0\n",
       "6     0\n",
       "7     0\n",
       "8     0\n",
       "9     0\n",
       "10    0\n",
       "11    0\n",
       "12    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_missing_reg.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "e1c45025-1f5e-4bc1-acdf-df093766998e",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "X = [X_full,X_missing_mean,X_missing_reg]\n",
    "mse = []\n",
    "for x in X:\n",
    "    estimator = RandomForestRegressor(n_estimators=100,random_state=0)\n",
    "    scores = cross_val_score(estimator,x,y_full,scoring=\"neg_mean_squared_error\",cv=5).mean()\n",
    "    mse.append(scores*-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "1debf3f0-64ef-4ab0-af36-5adab1dbf0f7",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[21.571667100368845, 40.35337936771499, 19.64287215628033]"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mse  # 越小越好"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "57767e62-5f00-4f1d-89da-24b22e0c78c8",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('full', 21.571667100368845),\n",
       " ('mean', 40.35337936771499),\n",
       " ('reg', 19.64287215628033)]"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[*zip([\"full\",\"mean\",\"reg\"],mse)]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b98b3ebb-d69e-4160-9170-4ba3d428a1c4",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "**我们发现 使用随机森林回归 填充的 数据 甚至  比 原始 数据还要好**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bad50b65-2792-4377-8b8e-efb1a8af4885",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": []
  }
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